Design and development of IoT based solar power agriculture robot

Agriculture in developing economies such as Pakistan remains heavily dependent on manual labor and single-purpose, grid or fuel-powered machinery that is often unaffordable for smallholder farmers. This paper presents the design, fabrication, and experimental evaluation of a multifunctional, solar-powered, Internet of Things (IoT)-enabled agricultural robot capable of performing soil cultivation, seed placement, irrigation, and crop cutting within a single integrated platform. The system architecture is built around an ESP32 microcontroller that interfaces with a DHT11 temperature/humidity sensor, an HC-SR04 ultrasonic obstacle sensor, an ESP32-CAM module for visual field monitoring, an L298N dual H-bridge motor driver, and relay-controlled actuators, with energy supplied by a 20 W photovoltaic panel, a 12 V/7.2 Ah battery, and a battery management system (BMS). Mechanical subsystems comprising a tooth-type cultivator, a soil-leveling roller, a servo-actuated seed dispenser, a DC pump-based irrigation unit, and a blade-type cutter were designed in CAD, fabricated, and integrated onto a four-wheel-drive chassis. Engineering calculations were used to size the power budget, battery backup, drive-motor torque, structural factor of safety, seeding rate, and irrigation flow. Field trials show a typical operating power demand of 24.4 W against an average usable solar output of 11–12 W, a battery backup of approximately 3.5 h, The experimental results demonstrated satisfactory performance of the proposed agricultural robot, achieving an average seed-placement accuracy of 74.45% over 11 experimental trials. The developed system also successfully performed soil digging, irrigation, crop cutting, obstacle detection, and real-time IoT-based remote monitoring, demonstrating its suitability for sustainable precision agriculture.

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Publication Details

Journal
Discover Robotics
Published
2026-10-09
DOI
https://doi.org/10.1007/s44430-026-00040-6
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Design and development of IoT based solar power agriculture robot

Sana Ullah, Asad Ullah, Mohammad Ali, M. Danyal Khan et al.
Discover Robotics
Smart Agriculture and AI
article

Design and development of IoT based solar power agriculture robot

Sana Ullah, Asad Ullah, Mohammad Ali, M. Danyal Khan, Mubasher Hassan
article en

Abstract

Agriculture in developing economies such as Pakistan remains heavily dependent on manual labor and single-purpose, grid or fuel-powered machinery that is often unaffordable for smallholder farmers. This paper presents the design, fabrication, and experimental evaluation of a multifunctional, solar-powered, Internet of Things (IoT)-enabled agricultural robot capable of performing soil cultivation, seed placement, irrigation, and crop cutting within a single integrated platform. The system architecture is built around an ESP32 microcontroller that interfaces with a DHT11 temperature/humidity sensor, an HC-SR04 ultrasonic obstacle sensor, an ESP32-CAM module for visual field monitoring, an L298N dual H-bridge motor driver, and relay-controlled actuators, with energy supplied by a 20 W photovoltaic panel, a 12 V/7.2 Ah battery, and a battery management system (BMS). Mechanical subsystems comprising a tooth-type cultivator, a soil-leveling roller, a servo-actuated seed dispenser, a DC pump-based irrigation unit, and a blade-type cutter were designed in CAD, fabricated, and integrated onto a four-wheel-drive chassis. Engineering calculations were used to size the power budget, battery backup, drive-motor torque, structural factor of safety, seeding rate, and irrigation flow. Field trials show a typical operating power demand of 24.4 W against an average usable solar output of 11–12 W, a battery backup of approximately 3.5 h, The experimental results demonstrated satisfactory performance of the proposed agricultural robot, achieving an average seed-placement accuracy of 74.45% over 11 experimental trials. The developed system also successfully performed soil digging, irrigation, crop cutting, obstacle detection, and real-time IoT-based remote monitoring, demonstrating its suitability for sustainable precision agriculture.

Discover RoboticsVol. 2(1)
University of Engineering and Technology Lahore (PK), University of Engineering and Technology Peshawar (PK)
Openalex Percentile: Top 14%
Smart Agriculture and AI
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Design and development of IoT based solar power agriculture robot — Sana Ullah, Asad Ullah, et al. · Discover Robotics (2026) | TGRS Research Map | TGRS