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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM55180
Volume:
9 |
12 |
Dec 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The increasing demand for sustainable and efficient farming practices has accelerated the adoption of advanced technologies in agriculture. This paper presents a solar-powered multipurpose agribot designed as an eco-friendly solution to automate routine farm operations while minimizing environmental impact. The system is capable of performing seven essential tasks—seeding, watering, ploughing, weeding, pesticide spraying, harvesting support, and crop monitoring—thereby reducing labor intensity and operational costs. Equipped with Internet of Things (IoT) sensors, the agribot continuously monitors soil moisture, temperature, and crop health, enabling data-driven decision-making. A key innovation of the system is its machine learning–based leaf disease prediction module, which employs image analysis to detect early symptoms of plant diseases, thus allowing timely intervention to prevent yield losses. Remote monitoring and control via mobile and web applications enhance flexibility and usability, particularly for large-scale farms. By integrating solar energy, automation, IoT, and artificial intelligence, the proposed agribot provides a sustainable approach to modern agriculture, supporting increased productivity, food security, and eco-friendly farming practices.
KEYWORDS
Publication Date
12/13/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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