INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Page 1284
www.rsisinternational.org
Profiling the Solar Transition in Odisha’s Agriculture – Adoption
Patterns and Socio-Economic Perceptions Among Tribal Farmers
Dr. Pradeep Kumar Sahoo, PhD*; Dr. Shiv Sankar Das; Dr. Ansuman Jena; Dr. Debashree Debadatta
Behera,
Assistant Professor, Centurion University of Technology and Management, Bhubaneswar-752050,
Odisha, India.
DOI:
https://doi.org/10.51583/IJLTEMAS.2026.1501000104
Received: 04 February 2025; Accepted: 09 February 2026; Published: 18 February 2026
ABSTRACT
In the contemporary era, climate change has emerged as a major global concern, with agriculture being a
significant contributor due to its heavy reliance on mechanization and fossil fuel consumption. In India, this
dependence has led to increased greenhouse gas emissions, particularly carbon dioxide and methane, along with
accelerated depletion of natural resources such as water, thereby raising serious concerns about environmental
sustainability. In this context, renewable energy-especially solar power-offers a viable pathway toward
promoting sustainable agricultural practices. Recognizing its importance, the Government of India has
introduced several subsidized programmes to facilitate the adoption of solar energy in agriculture.
This study examines the adoption of solar energy in agricultural production systems, its socio-economic impacts
on farming communities, and its overall efficiency and sustainability. Using primary data collected from 502
tribal farm households across five blocks each in Koraput and Nabarangapur districts of Odisha, the study reveals
that solar energy plays a significant role in enhancing the socio-economic well-being of farming households.
Solar energy is primarily utilized for crop production, irrigation, processing, value addition, and storage. Nearly
99% of the respondents reported a highly positive socio-economic impact, resulting in an average additional
annual income of approximately ₹50,000 per household.
Despite these benefits, several operational challenges were identified, including low voltage supply, pump set
inefficiencies, damage caused by wild animals, and the lack of locally available maintenance and repair services.
Addressing these constraints, the study proposes key policy recommendations, including the development of
localized maintenance ecosystems, enhanced subsidy support, promotion of group-based solar models, and
provision of training and exposure programmes for farmers to ensure effective adoption and long-term
sustainability of solar energy in agriculture.
Key Words: Solar Energy, Agriculture, Sustainability, Environment, Socio-Economic Impact
Funding Statement: This research was supported by a grant from the Indian Council of Social Science Research
(ICSSR) [Grant Number: 25/2024-25/SES/OBC/RP/ICSSR].
INTRODUCTION
Sustainable development is a multinational mission often linked to reducing climate change and ensuring energy
security (Adom, 2024; Bierbaum & Matson, 2013). The issues of energy poverty and climate change are very
severe in India, especially in the agricultural sector. Agriculture is a central part of the rural income and food
safety in developing countries like India, which is also a primary user of water and energy (Dalla Fontana et al.,
2020; Yue & Guo, 2021). Here, solar energy as a renewable energy source is a significant mechanism, which can
separate agricultural development from high dependency on fossil fuels. This shift from non-renewable energy
to renewable energy constructs resilience to the climate and reduces carbon pollution (IEA, 2022; Pietrzak et al.,
2025). The combination of agriculture and solar energy often goes well together. Likely, the high potential of
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Page 1285
www.rsisinternational.org
agricultural fields is helping to generate more solar power (Adeh et al., 2019). This initiates the possibilities for
agrivoltaics that increase the land use for food and energy production (Dupraz et al., 2011).
Such green technologies are urgently required among the tribal communities in India, who have traditionally
faced marginalization, low socio-economic development, and limited access to resources (Xaxa, 2005; Balgir,
2006). Odisha is a state with a high number of Scheduled tribe population (62), and the Particularly Vulnerable
Tribal Groups (13) across India, is the prime location of problems (GoI, 2022). Koraput and Nabarangapur
districts of Odisha are selected for the study as more than 50% of the total district population belongs to tribes.
Also, these districts are known for poor literacy rates, high Multidimensional Poverty Index scores, and high
dependency on rain-fed agriculture (Census, 2011; NMPI, 2021). These communities are facing energy poverty
challenges because of frequent grid failures and poor infrastructure. This drives post-harvest processing and
dependency on costly diesel pumps, which reinforces a cycle of poverty and low productivity (Campana et al.,
2013; Djanibekov & Gaur, 2018).
The use of solar power in agriculture is a revolutionary solution in remote areas. Research shows that
decentralized solar systems, such as dryers, irrigation pumps, processing units, and cold storages, can supply a
clean, secure and low-cost energy for agriculture (Aliyu et al., 2018; Guno & Agaton, 2022). The use of solar
irrigation instead of diesel can lower the costs of operation in agriculture. Also, it is increasing the cropping
intensity as well as offering access to water on time (Hoque et al., 2016; Islam & Hossain, 2022). In addition,
solar drying and cold storage can significantly minimize post-harvest losses. This makes value addition possible
and enables farmers to obtain improved prices in the market (Hin et al., 2024). The cost savings and increased
income that follow can be consequently channelled into healthcare, education, and improved farm inputs. This
directly contributes to Sustainable Development Goal for poverty eradication (SDG 1), zero hunger (SDG 2),
and clean and affordable energy (SDG 7) (Li et al., 2020; Auci & Pronti, 2023).
Seeing the potential, the Government of India and non-governmental institutions have introduced initiatives for
the installation of solar-powered systems in agricultural fields. Schemes such as the Pradhan Mantri Kisan Urja
Suraksha evam Utthaan Mahabhiyan (PM-KUSUM) encourage solar irrigation and other decentralized uses
(MNRE, 2023). In Odisha, institutions like the Odisha Renewable Energy Development Agency (OREDA), the
SELCO Foundation and many other such agencies have been playing a crucial role. They pilot and scale solar-
based livelihood initiatives tailored for tribal farmers (Dash et al., 2024).
Nonetheless, a major imbalance occurs between the technical potential of solar energy and a realistic
comprehension of its actual adoption and effects from the tribal farmer's point of view. While numerous studies
analyze the techno-economic viability of solar systems (Khalid et al., 2023; Merida García et al., 2021) and their
general socio-economic implications (Güre et al., 2025; Thapa et al., 2022), and in-depth descriptive studies are
rare. There are limited studies that identify the real users, list out the specific usage patterns, and elaborate on
the perceived challenges and benefits in the tribal areas of India (Nkhoma et al., 2024; Ukoba et al., 2024). While
designing the long-run and successful energy interventions, it is important to understand who is using what
technology, what the challenges are and the key effects.
Moreover, the study provides an exhaustive descriptive overview of renewable solar energy used among tribal
farmers of Odisha. Next, the study emphasizes the theoretical framework to give a deeper understanding of solar
energy use in contemporary times. Basically, the study focuses on three important goals, where it emphasizes
socio-economic contexts of the tribals, documents the adoption patterns, and determines the perceived benefits
and challenges to operate the technologies. The findings will give effective suggestions to development officers,
policymakers, and researchers to control solar energy for equitable and sustainable development in tribal regions
of India.
LITERATURE REVIEW
This discussion highlights three thematic areas in the literature to set the research within context. It covers the
tribe’s socio-economic context, the use and benefits of the solar system in the agricultural field, and the ongoing
problems associated with it and its sustainability in the long term.
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Page 1286
www.rsisinternational.org
The Socio-Economic Context of Tribal Communities
Tribals or Adivasis or Scheduled Tribes (STs) are considered to be the most socio-economically disadvantaged
population (Xaxa, 2005). Even though many development interventions and constitutional safeguards have
emerged in favour of tribes, these groups are still experiencing challenges like low literacy rates, limited access
to resources, and limited integration into the mainstream economy (Jain et al., 2015). Among them, PVTGs are
a sub-group characterized as more vulnerable to poverty and primitive cultivation practices (GoI, 2022).
Odisha is the prime location of STs and PVTGs in India (GoI, 2022). The two districts - Koraput and
Nabarangapur are known for poor literacy rates, high Multidimensional Poverty Index scores, and high
dependency on rain-fed agriculture (Census, 2011; NMPI, 2021). Research shows that more than 70% of the
rural population’s livelihood is highly impacted by rain-fed irrigation, energy poverty, and low productivity
(Census, 2011; GoO, 2018). It illustrates that tribal households are likely to engage more in different informal
economic practices and wage employment, which is making them economically poor (Nkhoma et al., 2024). In
order to examine the use of solar energy, its benefits, and any developmental interventions, it is crucial to
understand the socio-economic context.
Solar Energy as an Agent in Agricultural Systems
The encouragement of the use of solar energy in the agricultural field is a crucial strategy to influence
productivity and sustainability. Many studies have supported its efficacy and feasibility in the agricultural
sectors. For instance, SPIS is used during the cultivation stage, which is proven to be more economical and
technically feasible as compared to grid electricity and diesel pumps (Aliyu et al., 2018; Campana et al., 2013).
The research conducted in India and Bangladesh shows that SPIS helps in ensuring on-time water supply for
irrigation, reduces the production cost, and enhances the cropping intensity, resulting in directly rise of
agricultural incomes (Hoque et al., 2016; Jethani et al., 2023).
Apart from irrigation, solar energy is also considered for loss prevention and extensive value addition. For
instance, solar dryers give sun drying to high-value produce like fish, vegetables, and fruits, which create new
market opportunities and lower post-harvest losses (Hin et al., 2024; Mostafaeipour & Nasiri, 2020). Similarly,
cold storage avoids distress sales, helps in storing perishables, and helps farmers to generate better income (Amer
et al., 2022; Zhang et al., 2018). Moreover, agrivoltaics-co-deployment of land in agriculture, is offering
microclimatic crop benefits and high land-use efficiency (Adeh et al., 2019; Dupraz et al., 2011).
Further, better access to clean solar energy can empower women SHGs by generating income for them and
improving livelihood diversification (Guno & Agaton, 2022). Solar energy is also cost-saving and provides
income benefits that can generate better farming inputs, health, and education, contributing to social
empowerment and wider poverty reduction (Li et al., 2020; Lin & Kaewkhunok, 2024). Solar energy has socio-
economic impacts that facilitate community resilience and network dynamics (Güre et al. 2025)
Adoption and Sustainability Challenges
There are significant challenges for the sustainable and large-scale application of solar power in tribal regions.
Economically, the major challenge for small farmers is the initial capital cost, even though they receive
government subsidies (IRENA, 2021; MNRE, 2023). The bureaucratic lag and administrative inconvenience in
accessing the subsidy can challenge access by the small farmers (Kafle et al., 2024). Another major challenge
could be the operation and maintenance of the solar power.
The use of a reliable solar-powered storage system is unpredictable as it has a short lifespan and is expensive
(FAO, 2023). In remote areas, a solar system downtime is weakening the confidence of the users due to a lack
of spare supply chains and technical competencies (Habib et al., 2023). Additionally, dust on PV panels in
agricultural settings can affect the efficiency of the system if not cleaned on time (Tamoor et al., 2022). Apart
from this, socio-behavioural factors can also affect the early adoption of solar systems. For instance, the lack of
awareness and technical knowledge among farmers can restrict the early adoption (Chindasombatcharoen et al.,
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Page 1287
www.rsisinternational.org
2024). However, solar technologies can be effective if proper training is given with providing post-installation
support, and generating local entrepreneurships to develop a sustainable platform for repair and maintenance of
solar systems (Ukoba et al., 2024).
Synthesizing the Gap
The literature highlights the technical potential of the solar system and its relevance in the socio-economic
context. However, the research has not given more focus on PVTGs who have distinct vulnerabilities and socio-
cultural environments. Hence, it is crucial to document the adoption of solar power (including dryers, pumps,
fencing, etc.) among tribal farmers, source of getting solar systems (NGO, Government), operating challenges
in their regular life and specific benefits they have enjoyed.
This study bridges this gap by employing a descriptive research technique to develop a rich description of the
existing situation of solar energy uptake in the Koraput and Nabarangapur districts. With a focus on the user's
end, this study will provide empirically based findings that will enable the design of more targeted, effective,
and sustainable programs and policies for clean energy transition among tribal farming.
METHODOLOGY
Study Area
The research was conducted in the Scheduled Tribe-majority districts of Nabarangapur and Koraput in Odisha
State, India. The districts were purposively chosen because of their dense population of Scheduled Tribes (STs),
high dependence on agriculture, and their recognition as being areas with very high socio-economic and energy
poverty problems. The two districts are dominated by rain-fed agriculture and have been the target of different
government and non-governmental activities encouraging solar energy.
The survey was stratified among ten administrative blocks, five blocks in each district, to provide geographical
representation. In the Koraput district, the selected blocks were Boipariguda, Nandapur, Lamtaput, Kotpad, and
Koraput. The selected blocks in Nabarangapur district were Kosagumuda, Jharigam, Raighar, Umerkote, and
Nabarangapur Sadar.
Data Source and Collection
The research used primary cross-sectional data that had been gathered for the study, "Sustainability of Solar
Energy in the Socio-Economic Development of Tribal Farmers of Koraput and Nabarangapur Districts, Odisha,
India". A structured questionnaire is used to gather data. This detailed instrument was implemented through face-
to-face interviews carried out by enumerators who were trained and local dialect conversant. The survey tool
captured quantitative and qualitative data in various domains such as household demographics, livelihood assets,
farming practices, and extensive modules on solar technology adoption.
Sample Size and Sampling Strategy
The sample used in this analysis is 502 tribal farmers who have adopted solar technology for agricultural use.
The sampling approach followed under this study was multi-staged and stratified. First, the ten blocks in the two
districts were chosen purposively based on the concentration of tribals and the use of solar power systems in the
agriculture production by the tribes. Similarly, the selection of Gram Panchayat and villages were made as per
the list provided by the Odisha Lift Irrigation Corporation, Odisha Agro Industries Corporation Limited and
SELCO Foundation.
Total 45 Gram Panchayats were covered under data collection, which includes Boipariguda(10), Nandapur (04),
Lamtaput (03), Kotpad (06), Koraput (07) from Koraput district and Kosagumuda (03), Jharigam (03), Raighar
(02), Nabarangapur (01), Umerkote (06) from Nabarangapur. Unlike the selection of Gram Panchayats, a total
77 villages were selected from the two sample districts for data collection, which includes Boipariguda (12),
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Page 1288
www.rsisinternational.org
Nandapur (05), Lamtaput (03), Kotpad (08), Koraput (18) from Koraput district and Kosagumuda (05), Jharigam
(11), Raighar (07), Nabarangapur (01), Umerkote (07) from Nabarangapur district.
A total of 502 tribal households consist of 190 from Koraput and 312 from Nabarangapur districts, engaged in
agriculture, were selected from the two sample districts. For identification of sample households, the list of
farmers provided by Odisha Lift Irrigation Corporation (OLIC), Odisha Agro Industries Corporation Limited
(OAIC) and SELCO Foundation were followed, and the short fall were completed by following snowball
sampling methods (Table 1).
Table 1: Sample profile
S. No.
Districts
Blocks
GP (No)
Village (No)
1
Koraput
Boipariguda
10
12
2
Nandapur
04
05
3
Lamtaput
03
03
4
Kotpad
06
08
5
Koraput
07
18
6
Nabarangapur
Kosagumuda
03
05
7
Jharigam
03
11
8
Raighar
02
07
9
Nabarangapur
01
01
10
Umerkote
06
07
Total
10
45
77
Source: Compiled by the authors from filed survey 2025
Variables for Analysis
The household schedule data were classified into separate categories of variables for descriptive purposes:
Socio-Demographic Profile
Variables in this category are the age and sex of the respondent, formal education years achieved, family type
(nuclear or joint), total landholding (in acres), and economic status (BPL/APL).
Adoption Patterns
This type records the details of solar technology adoption. The most significant variables are the adopted solar
system type (e.g., irrigation pump, dryer, fencing), year of adoption, source of the system (Government, NGO,
Private), ownership model (Individual or Group), and its major nature of utilization in the agro-value chain
(Production, Processing, or Storage).
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Page 1289
www.rsisinternational.org
Perceived Benefits
This measures the reported outcomes by families. Indicators are the increase in crop area (in acres) due to solar
irrigation, self-reported enhancement in crop production (in kilograms), economic gain per year (in Indian
Rupees), and better social standing (e.g., membership in a Self-Help Group, possession of a bank account).
Overall satisfaction rated on a Likert-type scale is also surveyed.
Operational Challenges
This dimension deals with the hurdles in long-term use. It encompasses the number of system repairs, cost of
annual maintenance (in INR), presence of local technicians, availability of formal training, and distance to the
nearest service centre (in kilometres).
Data Analysis Methods
The statistical analysis for this paper is based solely on descriptive statistics. The aim is to describe and
summarize the major features of the sample without drawing statistical inferences to a wider population.
The data will be represented in the following manner:
For categorical variables (such as system type, source of supply, level of satisfaction), results will be displayed
as percentages and frequencies by use of tables and visualizations such as bar charts and pie charts.
For continuous variables (e.g., landholding, system cost, economic benefit, cost of maintenance), measures of
central tendency (mean, median) and spread (standard deviation) will be computed and tabulated in summary
tables. Histograms may also be plotted to show the distribution of these variables.
This research method gives a distinct and structured picture of solar-energy adopting tribal farmers, describing
who they are, how they utilize the technology, and what benefits and difficulties they face.
Data Analysis
Socio-Demographic Profile of Adopting Households
The analysis begins with a profile of the tribal farmers who have adopted solar technologies. The data,
summarized in Table 1, reveals a predominantly middle-aged, male-led household structure with basic education
levels primary schooling (78.5%). Out of the total 94.2% were married and 2.4% reported to be
Widow/Widower/Divorce. Except 8% members remaining are falling under the working age group of 25 to 55
years.
Table 1: Socio-Demographic Characteristics of Respondent Households (N=502)
S. N.
Attributes
F
Total
S. N.
Attributes
F
Total
Sex of Respondent
Marital Status
1
Male
Count
408
1
Married
Count
473
2
%
81.30%
2
%
94.20%
3
Female
Count
94
3
Unmarried
Count
17
4
%
18.70%
4
%
3.40%
Total
Count
502
5
Count
12
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Page 1290
www.rsisinternational.org
%
100.00%
6
Widow/ Widower
/Divorce
%
2.40%
Education
Total
Count
502
1
Illiterate
Count
78
%
100.00%
2
%
15.50%
Age of the Respondent
3
Primary
Count
394
1
Below 25 Year
Count
2
4
%
78.50%
2
%
0.40%
5
Upper Primary
Count
8
3
25 - 35 Year
Count
97
6
%
1.60%
4
%
19.30%
7
Secondary
Education
Count
11
5
36 - 45 Year
Count
200
8
%
2.20%
6
%
39.80%
9
Higher Secondary
Count
5
7
46 - 55 Year
Count
163
10
%
1.00%
8
%
32.50%
11
Graduation &
above
Count
6
9
56 Year and Above
Count
40
12
%
1.20%
10
%
8.00%
Total
Count
502
Total
Count
502
%
100.00%
%
100.00%
Source: Compiled by the author from the field survey 2025
A significant majority of the households (65.3%) were classified as Below the Poverty Line (BPL), and 6.6%
families were reported to be critically poor and covered under Antyodaya Anna Yojana (AAY). Underscoring
the economic vulnerability of the community and the importance of subsidized technologies. Under the National
Food Security Act 2013, the government of India has created a provision for the distribution of cereals among
households living in poverty. Tribals, being the most backward community, are entitled to the scheme of the
government. Of the total sample, 93.4% family’s avail PDS benefit. (Figure 1).
Figure 1: Family Economic Status and Households Avail PDS (%) (N-502)
28.1
65.3
6.6
Family Economic Status (%)
APL BPL AAY
93.4
6.6
Yes No
Households Avail PDS (%)
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Page 1291
www.rsisinternational.org
Source: Compiled by the author from the field survey 2025
Land and Agriculture
In common parlance, tribal communities are either small holder and landless. However, in the sample area,
16.5% families are found to be marginal farmers having up to one hectare of land holding, with 20.8% families
from the non-solar households. Similarly, among others, 56.2% families are small holders having 1.0 - 1.99
hectares of land, which percentage is higher (58.0%) in the case of solar households. A total of 26.6% families
covered under the survey are semi-medium farmers holding 2.0 - 3.99 hectares of land, and 0.7% are medium
land holders with 4.0-9.99 hectares of land. However, none of the households under survey are large farmers in
either of the categories (Table 4.7).
Table 2. Land Holding Classification (N-502)
S. N.
Farmer Category
Frequency
Total
1
Marginal (Below 1.0 hectare)
Count
61
2
%
12.2%
3
Small (1.0 - 1.99 hectares)
Count
291
4
%
58.0%
5
Semi-Medium (2.0 - 3.99 hectares)
Count
145
6
%
28.9%
7
Medium (4.0 - 9.99 hectares)
Count
5
8
%
1.0%
Total
Count
502
%
100.0%
Source: Compiled by the author from the field survey 2025
Cropping Area, Crop Production and Sale
In the sample area, the total cropping area was 1817.2 acres for Paddy, Millet (109.5 acres), Maize (1203.4
acres), Til (11.5 acres), Vegetables (198.65 acres) and orchard crop (11 acres) for the entire season. In the Kharif
season, the area covered under crop production was 1797.8 acres, which was 1553.5 acres in the Rabi season.
Paddy is the most dominant crop among all cultivated crops in the Kharif season. However, during the Rabi
season, maize dominates paddy, showing the importance of maize in Koraput and Nabarangapur (Table 3).
Table 3. Cropping Area in Acre (N-502)
S. N.
Crop
Frequency
Kharif Total
Rabi Total
Grand Total
1
Paddy
Count
1752.2
65
3468.2
2
%
50.5
1.9
100.0
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Page 1292
www.rsisinternational.org
3
Millet
Count
6
103.5
138.5
4
%
4.3
74.7
100.0
5
Maize
Count
27.6
1175.8
2045.4
6
%
1.3
57.5
100.0
7
Til
Count
1.5
10
13.5
8
%
11.1
74.1
100.0
9
Vegetable
Count
10.5
188.15
477.65
10
%
2.2
39.4
100.0
11
Orchard crop
Count
0
11
18
12
%
0
61.1
100.0
Source: Compiled by the author from the field survey 2025
Since paddy covers the highest area of land during the Kharif season, it is the highest produced crop and provides
39453 quintals of production in a year. Surprisingly, 38162 quintals of paddy were produced alone during the
Kharif season out of the total production. Next to paddy, the other major produced crop was maize, which was
produced in 26551 quintal per year. Other than the two major crop like paddy and maize, the farmers of Koraput
and Nabarangapur were also producing Millet (1757 quintal), Til (258 quintal), vegetables like brinjal, guar,
tomato, ladies-finger, cabbage, curly flower, etc., (3715 quintals) and Orchard crops like mango, litchi, jackfruit,
banana, etc., (164 quintal) (Table 4).
Table 4. Crop Production in Quintal (N-502)
S. N.
Crop
Frequency
Kharif Total
Rabi Total
Grand Total
1
Paddy
Count
38162
1291
39453
2
%
54.9
1.9
100
3
Millet
Count
94
1663
1757
4
%
4.4
78.2
100
5
Maize
Count
460
26091
26551
6
%
1.1
62
100
7
Til
Count
18
240
258
8
%
6.2
82.2
100
9
Vegetable
Count
156
3559
3715
10
%
2
46.5
100
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Page 1293
www.rsisinternational.org
11
Orchard crop
Count
0
164
164
12
%
0
64.8
100
Source: Compiled by the author from the field survey 2025
Patterns of Solar Technology Adoption
The use of solar powered systems in agriculture is varied. It is being used for both production and processing
and value addition such as irrigation systems, rice mills, hullers, dryers, threshers, cold storages, etc. The details
relating to the varied usage of solar powered systems are given in Table 5. Solar irrigation pumps were the most
widely adopted technology, followed by solar fencing and dryers. This indicates that production-stage
applications are the primary entry point for solar adoption in these communities. The government was the
predominant source of these technologies, highlighting the critical role of public schemes like PM-KUSUM and
OREDA initiatives. Furthermore, a mix of individual and group ownership models was observed in the study
area, with a notable proportion of community-level assets like cold storage and large processing units being
managed by SHGs or FPOs.
Table 5: Use of Solar Energy in Agricultural Production Systems (N-502)
Agricultural
Stage
Solar Energy Use
Specific Application in
Tribal Regions
Potential Impact
1.
Production
Solar-powered
irrigation pumps
Solar fencing
Solar lights in fields
Solar sprayer
Replacing diesel pumps
and manual sprayers in
districts like Koraput,
Rayagada.
Night farming
Reduced input cost
Increased cropping
intensity
Wildlife crop
protection
2. Processing
Solar grinders,
threshers, hullers
Solar dryers, Oil
mill, Dal mill, etc.
Millet, Maize, Ginger and
Turmeric processing.
Leaf plate making
Improved product
quality
Employment for
women
Local enterprise
generation
3. Value
Addition
Solar dehydration
units
Solar cookers
Drying mango, jackfruit,
amla, mushrooms
Shelf-life extension
Premium pricing for
organic products
4. Storage
Solar-powered cold
storage
Solar refrigeration
for perishables
Pilots in Malkangiri and
Nabarangapur for
vegetable & fish storage
Post-harvest loss
reduction
Improved food
security and price
negotiation power
Source: Compiled by the author from the field survey 2025
The study shows that the dominant use of solar power is irrigation, with 85.9% tribal household responded its
overall usage (Figure-2). This indicates that solar power primarily supports the essential needs of crop
production. It has found that Nabarangapur has the highest irrigation use with 89.4% households response,
which suggests high dependence on solar pumps. On the other hand, Koraput has 80.0% of households with
diversified usage (Figure-2). Research reflects those value-added activities like millet processing, paper plate
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Page 1294
www.rsisinternational.org
making, rice hulling, and puffed rice preparation remain limited, which reflects constraints in market access,
technology, and skills. This trend shows that adoption of solar power is largely production-centric with a modest
shift toward income-generating activities. The same pattern has been observed in the adoption of rural renewable
energy studies (MNRE, 2024).
Figure 2. Actual use of the solar system
Source: Compiled by the author from the field survey 2025
Perceived Socio-Economic Benefits and Challenges
Households reported significant benefits from adopting solar technologies. The most direct impact was
economic, with an average annual financial benefit of 50000/-
per household. This was driven by a reported
average increase in cropped area by 2 to 5 acres and a reduction in post-harvest losses. As shown in table 6, when
asked to rate their overall satisfaction, a strong majority of users reported "Good" to "Excellent" experiences.
Table 6. Benefits of Solar Power System for Agriculture (N-502)
S. N.
Attributes
%
District
Total
Koraput
Nabarangapur
1
Yes
Count
188
308
496
2
%
98.9%
98.7%
98.8%
3
No
Count
2
4
6
4
%
1.1%
1.3%
1.2%
Irrigation
Milking
Millet processing
Paper plate making
Puffed rice
Rice huller
80.0%
0.0%
11.6%
2.6%
2.6%
3.2%
89.4%
1.0%
3.5%
1.9%
1.0%
3.2%
85.9%
.6%
6.6%
2.2%
1.6%
3.2%
Specific Activites Done Through SPS in % (N=502)
Total Nabarangapur Koraput
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Page 1295
www.rsisinternational.org
Total
Count
190
312
502
%
100.0%
100.0%
100.0%
Source: Compiled by the author from the field survey 2025
The data shows that most respondents (79.9%) rated solar power systems as “very goodin Koraput, with a
small proportion rating them “good” (18.3%). In Nabarangapur, 84.9% respondents said “very goodrating for
its overall benefits. This indicates a high level of satisfaction with solar power benefits in Nabarangapur and
Koraput, which reflects improved reliability and productivity (Figure 5.6).
Figure 3: User Satisfaction with Solar Power Systems
Source: Compiled by the author from the field survey 2025
Major issues associated with Solar Power System
The adoption journey of SPS was not without challenges. Maintenance emerged as a critical issue. Even though
the average annual maintenance cost incurred by households was very less ₹1000 to ₹5000/-, which is due to
coverage of repair and maintenance under the installation, still the farmers face numerous challenges. The
frequency of repairs varied, with a notable proportion of users requiring multiple services per year. A significant
barrier was the lack of local service infrastructure, with the average distance to the nearest technician
being minimum 10
km.
The data reflects that issues with water pumps are the primary concern for users of solar power systems, which
is impacting 75% of households in total. Koraput (78.7%) has a slightly greater percentage than Nabarangapur
(61.5%). Attacks from wild animals affect 20% of households, with a higher rate in Nabarangapur (30.8%)
1.1%
26.8%
71.6%
.5%
1.3%
13.1%
84.9%
.6%
1.2%
18.3%
79.9%
.6%
Poor
Good
Very good
Excellent
Perception on over all benefits of Solar Power System % (N=502)
Total Nabarangpur Koraput
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Page 1296
www.rsisinternational.org
compared to Koraput (17%), whereas low voltage issues are less common (5%). This suggests that technical
upkeep and ecological factors are major obstacles, and specific actions like safeguarding against wildlife and
pump maintenance can enhance the dependability and efficiency of solar energy systems (Figure 4 & 5).
Figure 4. Major issues faced by farmers from SPS
Source: Compiled by the author from the field survey 2025
Operation and maintenance issues of the solar power system
Figure 5. Operation and maintenance related issue of SPS since use (502)
Source: Compiled by the author from the field survey 2025
Koraput Nabarangpur Total
4.3%
7.7%
5.0%
78.7%
61.5%
75.0%
17.0%
30.8%
20.0%
Major issue associate with SPS in % (N=60)
Low Voltage Issues with Water Pump Attack of Wild Animals Causing Damage
Koraput Nabarangpur Total
21.6%
3.2%
10.2%
78.4%
96.8%
89.8%
Operation and Maintenance Issues in SPS since use in % (N=502)
Yes No
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Page 1297
www.rsisinternational.org
DISCUSSION
This study gives a deeper understanding of the solar energy used among the tribal farmers of Odisha,
emphasizing a number of significant observations and patterns. Research shows that the socio-economic
adopters, like small-scale farmers and middle-aged people from BPL, are the consistent beneficiaries of
government subsidy initiatives like PM- KUSUM (MNRE, 2023). It shows that the policy initiatives are
connecting successfully with most of the economically disadvantaged people. However, a gender disparity is
also observed while adopting the solar system, where men are more prevalent in decision-making and technology
ownership (Nkhoma et al., 2024). Here, more focused interventions should be a pervasive rural technology
diffusion challenge.
The study shows that the most commonly adopted renewable energy system is solar irrigation pumps. This shows
the extreme significance of access to water in the rain-fed production systems. The dominance of solar systems
shows that it is a strategic prioritization of production-stage obstacles, which is the first step in the agricultural
shift (Campana et al., 2015). The public policy plays a critical role in helping to facilitate market creation and
close the affordability gap in tribal or rural regions (Ukoba et al., 2024). For instance, a good initiative could be
the complementary existence of group and individual ownership structures for more expensive cold storage
systems that can accumulate social capital and enhance economic sustainability, which aligns with the
Sustainable Livelihood Approach (DFID, 1999).
The study states significant socio-economic impacts of solar systems among small farmers. Solar power system
has the capability of increasing revenue and productivity, which provides immediate economic benefits in terms
of minimized post-harvest losses and expanded cropping area (Guno & Agaton, 2022; Mostafaeipour & Nasiri,
2020). Moreover, it has strong user satisfaction, which means that technology is observed as a net benefit.
However, it is crucial for word-of-mouth dissemination and long-run sustainability in such communities. The
association with SHG membership and financial inclusion shows that the adoption of solar system has the
potential to bring more socio-economic development (Li et al., 2020).
Further, this positive trend may be hampered due to operational barriers. The literature illustrates that the high
maintenance of the solar system, theft, damage by wild animals, and common repair needs reflect worries about
the sustainability of solar projects in rural areas (Habib et al., 2023). In the maintenance landscape, there are
some key challenges, like distance to service hubs and the unavailability of local technicians. However, this has
the potential to create downtime in extending the solar system in rural areas. The findings also suggest that the
focus on existing policy and establishing a localized, strong, and low-cost solar installation service network.
CONCLUSION AND POLICY IMPLICATIONS
The adoption of a solar energy system has strong potential to boost the socio-economic status of tribal farmers
in Odisha by processing crops, creating economic gains, increasing agricultural output, providing a proper
storage system, and overall development. Solar energy technology is well accepted in rural regions. However,
the sustainability of this solar technology depends on overcoming deeper challenges linked with maintenance
and operation, which are hindering the maximum use in the present context.
The research paper identified some significant findings and accordingly posed some policy recommendations
that are highlighted below:
Emphasize Local Maintenance ecosystems: The policymakers and development agencies are required to
emphasize the deployment and training of technicians at the local village level. This can also contribute to
the present skill development missions. Moreover, developing solar entrepreneur networks at the block or
panchayet level can reduce the repair expenses and time.
Better Subsidy Programs: It has found that capital subsidies are beneficial for solar adoption, but there is
a need to focus on providing extended warranties and subsidizing up-front maintenance expenses. Also,
these subsidy programs could promote service contracts with dealers at the local level to ensure better
maintenance.
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Page 1298
www.rsisinternational.org
Promote Group Models for Enhanced Technologies: It is important to encourage group ownership under
SHG and FPOs for advanced, sophisticated, and costly solar systems like large processing units and cold
storage systems. As a result, it can divide the risk, split the costs, and encourage community capacity for
management.
Enhance Targeted Training and Awareness: There is a need for ongoing training of the technicians in the
field of preventive maintenance and elementary troubleshooting. The focus must be given to the awareness
campaign that provides benefits to non-users and encourages them to adopt a solar system.
In general, the idea of integrating sustainable solar energy into tribal agriculture is beneficial. In future,
longitudinal designs must be used to enhance the inferential techniques and long-term sustainability of solar
systems. This way, it will be easy to find out factors associated with adoption success and failure.
REFERENCES
1. Adeh, E. H., Good, S. P., Calaf, M., & Higgins, C. W. (2019). Solar PV Power Potential is Greatest
Over Croplands. Scientific Reports, 9(1), 11442. https://doi.org/10.1038/s41598-019-47803-3
2. Adom, P. K. (2024). The socioeconomic impact of climate change in developing countries over the
next decades: A literature survey. Heliyon, 10(15), e35134.
https://doi.org/10.1016/j.heliyon.2024.e35134
3. Aliyu, M., Hassan, G., Said, S. A., Siddiqui, M. U., Alawami, A. T., & Elamin, I. M. (2018). A review
of solar-powered water pumping systems. Renewable and Sustainable Energy Reviews, 87, 61–76.
https://doi.org/10.1016/j.rser.2018.02.010
4. Amer, M., Mito, M., Essam, A., & Bayoumi, S. (2022). Case study for optimum techno-economic
integration of PV and anaerobic digestion for sustainable agri-business. Energy Reports, 8, 362–375.
https://doi.org/10.1016/j.egyr.2022.06.088
5. Bierbaum, R. M., & Matson, P. A. (2013). Energy in the Context of Sustainability. Daedalus, 142(1),
146–161. https://doi.org/10.1162/DAED_a_00191
6. Campana, P. E., Li, H., & Yan, J. (2013). Dynamic modelling of a PV pumping system with special
consideration on water demand. Applied Energy, 112, 635–645. Scopus.
https://doi.org/10.1016/j.apenergy.2012.12.073
7. Campana, P. E., Li, H., & Yan, J. (2015). Techno-economic feasibility of the irrigation system for the
grassland and farmland conservation in China: Photovoltaic vs. Wind power water pumping. Energy
Conversion and Management, 103, 311–320. Scopus. https://doi.org/10.1016/j.enconman.2015.06.034
8. Chindasombatcharoen, N., Tsolakis, N., Kumar, M., & O’Sullivan, E. (2024). Navigating
psychological barriers in agricultural innovation adoption: A multi-stakeholder perspective. Journal of
Cleaner Production, 475, 143695. https://doi.org/10.1016/j.jclepro.2024.143695
9. Dalla Fontana, M., Moreira, F. D. A., Di Giulio, G. M., & Malheiros, T. F. (2020). The water-energy-
food nexus research in the Brazilian context: What are we missing? Environmental Science & Policy,
112, 172–180. https://doi.org/10.1016/j.envsci.2020.06.021
10. Dash, Ch. J., Lenka, J., Gowda, H. C. H., Madhu, M., Devrajan, R., Naik, G. B., Barla, G. W., & Yadav,
P. (2024). Assessment of green energy for vegetable cultivation in tribal areas of Koraput district,
Odisha in the Eastern Ghats region. Indian Journal of Soil Conservation, 52, 56–62.
https://doi.org/10.59797/ijsc.v52.i2.158
11. Djanibekov, U., & Gaur, V. (2018). Nexus of energy use, agricultural production, employment and
incomes among rural households in Uttar Pradesh, India. Energy Policy, 113, 439–453. Scopus.
https://doi.org/10.1016/j.enpol.2017.11.023
12. Dupraz, C., Marrou, H., Talbot, G., Dufour, L., Nogier, A., & Ferard, Y. (2011). Combining solar
photovoltaic panels and food crops for optimising land use: Towards new agrivoltaic schemes.
Renewable Energy, 36(10), 2725–2732. https://doi.org/10.1016/j.renene.2011.03.005
13. Guno, C. S., & Agaton, C. B. (2022). Socio-Economic and Environmental Analyses of Solar Irrigation
Systems for Sustainable Agricultural Production. Sustainability (Switzerland), 14(11). Scopus.
https://doi.org/10.3390/su14116834
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Page 1299
www.rsisinternational.org
14. Güre, P. D., Zırh, B. C., Erdil, E., Topal, Y. E., Yazici, E., İpek, E., Deveci, A., & Sari, R. (2025). A
systematic review of socio-economic impact assessments of solar energy and photovoltaic (PV)
technologies: Network dynamics, societal problems and policy implications. Innovation: The European
Journal of Social Science Research, 1–32. https://doi.org/10.1080/13511610.2024.2445176
15. Habib, S., Liu, H., Tamoor, M., Zaka, M. A., Jia, Y., Hussien, A. G., Zawbaa, H. M., & Kamel, S.
(2023). Technical modelling of solar photovoltaic water pumping system and evaluation of system
performance and their socio-economic impact. Heliyon, 9(5). Scopus.
https://doi.org/10.1016/j.heliyon.2023.e16105
16. Hin, L., Buntong, B., Mean, C. M., Chhoem, C., & Prasad, P. V. V. (2024). Impacts of Using Solar
Dryers on Socio-Economic Conditions of Dried Fish Processors in Cambodia. Sustainability, 16(5),
2130. https://doi.org/10.3390/su16052130
17. Hoque, N., Roy, A., & Das, B. K. (2016). Techno-economic evaluation of solar irrigation plants
installed in Bangladesh. International Journal of Renewable Energy Development, 5(1), 73–78.
Scopus. https://doi.org/10.14710/ijred.5.1.73-78
18. Islam, M. T., & Hossain, M. E. (2022). Economic feasibility of solar irrigation pumps: A study of
northern bangladesh. International Journal of Renewable Energy Development, 11(1), 1–13. Scopus.
https://doi.org/10.14710/IJRED.2022.38469
19. Jain, Y., Kataria, R., Patil, S., Kadam, S., Kataria, A., Jain, R., Kurbude, R., & Shinde, S. (2015). Burden
& pattern of illnesses among the tribal communities in central India: A report from a community health
programme. Indian Journal of Medical Research, 141(5), 663–672. https://doi.org/10.4103/0971-
5916.159582
20. Jethani, J. K., Sahu, B. K., Kumar, A., Kumar, A., & Sarangi, G. K. (2023). Transition to a solarized,
energy efficient irrigation system; Empirical evidence from India. Songklanakarin Journal of Science
and Technology, 45(6), 652–658. Scopus.
21. Kafle, K., Balasubramanya, S., Stifel, D., & Khadka, M. (2024). Solar-powered irrigation in Nepal:
Implications for fossil fuel use and groundwater extraction. Environmental Research Letters, 19(8).
Scopus. https://doi.org/10.1088/1748-9326/ad5f46
22. Khalid, A., Abd El-Hamid, M., Mostafa, A., & Elgendy, E. (2023). Economic Analysis of a Solar
Operated Irrigation Pump for Different Crops under Egyptian Climatic Conditions. International
Journal of Renewable Energy Research, 13(2), 619–628. Scopus.
https://doi.org/10.20508/ijrer.v13i2.13956.g8731
23. Li, J., Ma, W., Renwick, A., & Zheng, H. (2020). The impact of access to irrigation on rural incomes
and diversification: Evidence from China. China Agricultural Economic Review, 12(4), 705–725.
https://doi.org/10.1108/CAER-09-2019-0172
24. Lin, B., & Kaewkhunok, S. (2024). From fields to markets: Solar power adoption impact on Nepali
farmers livelihoods. Energy for Sustainable Development, 82, 101537.
https://doi.org/10.1016/j.esd.2024.101537
25. Merida García, A., Gallagher, J., Crespo Chacón, M., & Mc Nabola, A. (2021). The environmental and
economic benefits of a hybrid hydropower energy recovery and solar energy system (PAT-PV), under
varying energy demands in the agricultural sector. Journal of Cleaner Production, 303. Scopus.
https://doi.org/10.1016/j.jclepro.2021.127078
26. Mostafaeipour, A., & Nasiri, A. (2020). Economic Evaluation of Cooling Storage Warehouses in Hot
and Dry Regions for Fruits Using Different Renewable Energies. Journal of Renewable Energy and
Environment, 7(1), 18–32. Scopus. https://doi.org/10.30501/jree.2020.105449
27. Nkhoma, R., Mwale, V. D., & Ngonda, T. (2024). Socioeconomic indicators and their influence on the
adoption of renewable energy technologies in rural Malawi. International Journal of Energy Sector
Management, 18(6), 1870–1884. https://doi.org/10.1108/IJESM-10-2023-0001
28. Pietrzak, P., Kacperska, E., Kraciuk, J., & Łukasiewicz, K. (2025). Publication Trends, Key Findings,
and Research Gaps in Renewable Energy Applications in Agriculture. Energies, 18(2), 371.
https://doi.org/10.3390/en18020371
29. Tamoor, M., Hussain, M. I., Bhatti, A. R., Miran, S., Arif, W., Kiren, T., & Lee, G. H. (2022).
Investigation of dust pollutants and the impact of suspended particulate matter on the performance of
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
Page 1300
www.rsisinternational.org
photovoltaic systems. Frontiers in Energy Research, 10, 1017293.
https://doi.org/10.3389/fenrg.2022.1017293
30. Thapa, P. M., Chantrapromma, S., Techato, K., & Gyawali, S. (2022). Socioeconomic and
environmental impact of solar irrigation: A systematic literature review. International Journal of
Energy, Environment and Economics, 29(4), 493–511. Scopus.
31. Ukoba, K., Yoro, K. O., Eterigho-Ikelegbe, O., Ibegbulam, C., & Jen, T.-C. (2024). Adaptation of solar
energy in the Global South: Prospects, challenges and opportunities. Heliyon, 10(7), e28009.
https://doi.org/10.1016/j.heliyon.2024.e28009
32. Yue, Q., & Guo, P. (2021). Managing agricultural water-energy-food-environment nexus considering
water footprint and carbon footprint under uncertainty. Agricultural Water Management, 252, 106899.
https://doi.org/10.1016/j.agwat.2021.106899
33. Zhang, C., Campana, P. E., Yang, J., Yu, C., & Yan, J. (2018). Economic assessment of photovoltaic
water pumping integration with dairy milk production. Energy Conversion and Management, 177, 750
764. Scopus. https://doi.org/10.1016/j.enconman.2018.09.060