Innovative Agricultural Robotics: Addressing Labour and Efficiency Challenges Through a Multipurpose IOT-Controlled Platform.
Authors
Aachal Dange
Department of Computer Engineering Trinity College of Engineering and Research, Pune, India Guide (IN)
Pranjal Dhumal
Department of Computer Engineering Trinity College of Engineering and Research, Pune, India Guide (IN)
Anisha Dhuri
Department of Computer Engineering Trinity College of Engineering and Research, Pune, India Guide (IN)
Prathamesh Undre
Department of Computer Engineering Trinity College of Engineering and Research, Pune, India Guide (IN)
Prof. Rupali Maske
Department of Computer Engineering Trinity College of Engineering and Research, Pune, India Guide: Prof. Rupali Maske (IN)
Article Information
DOI: 10.51583/IJLTEMAS.2026.150400025
Subject Category: Computer Engineering
Volume/Issue: 15/4 | Page No: 275-286
Publication Timeline
Submitted: 2026-05-04
Published: 2026-05-04
Abstract
Modern agriculture faces a convergence of critical challenges: acute labour shortages, escalating agrochemical costs, inefficient manual seed sowing, and persistent weed infestations that collectively reduce crop yields by 20 - 40% in smallholder farms. This paper presents a Multipurpose Agriculture Robot, a low-cost, farmer-configurable, IoT-controlled robotic platform designed to address these challenges through a unified modular architecture. The proposed system integrates three primary operational units - chemical spraying and irrigation unit, a precision seeding unit and a cutting unit - mounted on a common ESP32-based chassis equipped with servo-actuated extensible folding-arm mechanisms. The arms dynamically adjust irrigation and pesticide spray coverage width from 30 cm to 90 cm per side in real time without halting field operations, a feature not available in any existing low-cost agricultural robot. Optional attachments including a field - leveling tool can be added or removed via a standardized quick-connect modular tool bay, enabling season-specific farmer configuration. A dedicated mobile application communicates with the robot over Bluetooth and Wi-Fi, providing real-time directional control, arm angle adjustment, spray activation and cutting unit. Mathematical models govern irrigation water calculation using soil moisture feedback and seeding error minimization using motor-speed adjustment.
Keywords
Agricultural robotics, modular design, extensible arm mechanism, IoT-based control, seeding automation
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References
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