Smart AGRO Advisors
Authors
Dr. R. Madhavi
Keshav Memorial Engineering College (Affiliated to Osmania University) Hyderabad, India (IN)
Uppara Vishruth
Keshav Memorial Engineering College (Affiliated to Osmania University) Hyderabad, India (IN)
Edla Pradeep
Keshav Memorial Engineering College (Affiliated to Osmania University) Hyderabad, India (IN)
Martha Narender
Keshav Memorial Engineering College (Affiliated to Osmania University) Hyderabad, India (IN)
Article Information
DOI: 10.51583/IJLTEMAS.2025.1406000115
Subject Category: Engineering
Volume/Issue: 14/6 | Page No: 1051-1059
Publication Timeline
Submitted: 2025-07-24
Published: 2025-07-24
Abstract
Abstract—Excessive and improper use of fertilizers leads to soil degradation and reduced agricultural productivity, negatively impacting farmers’ income. Description: Create a data-driven solution that recommends optimal fertilizer types and quantities based on soil health, crop type, and weather patterns, ensuring sustainable agricultural practices. Expected Solution: An application that analyzes soil data and provides tailored fertilizer recommendations, promoting sustainable farming while enhancing crop yield and farmer income. The implemented model achieves high accuracy and offers an intuitive interface for farmers, ensuring ease of use and effective adoption.
Keywords
Random Forest, fertilizer recommendation, crop recommendation, Farmer-Friendly Interface, Precision Agriculture
This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
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References
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