Smart Robot for Plant Disease Detection

The designed Project introduces an innovative autonomous robot for plant disease detection, harnessing the power of a Raspberry Pi, advanced imaging technology, and real time SMS alerts to revolutionize agricultural practices. Designed to navigate fields independently, this robot captures detailed images of plant leaves and employs sophisticated image processing algorithms to identify early signs of diseases, including fungal infections, bacterial blight, and nutrient deficiencies. When a potential disease is detected, the system sends instant SMS notifications to farmers, enabling immediate action to mitigate crop loss. Central to the design is the Raspberry Pi microcontroller, which orchestrates the robot’s operations and runs the detection algorithms. The high-resolution camera module plays a crucial role in ensuring accurate diagnosis, while the integrated GSM module facilitates seamless communication. Utilizing cutting-edge machine learning techniques, this system achieves high accuracy in disease recognition, even in diverse agricultural settings. Field tests have showcased its effectiveness, delivering rapid alerts and enhancing decision-making for farmers. By empowering growers with timely insights and proactive disease management, this robot not only promotes sustainable farming practices but also paves the way for smarter, technology driven agriculture.

Publication Details

Journal
Journal on Electronic and Automation Engineering
Published
2025-06-07
DOI
https://doi.org/10.46632/jeae/4/2/50
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Robot for Plant Disease Detection

Journal on Electronic and Automation Engineering
Smart Agriculture and AI
article

Smart Robot for Plant Disease Detection

article en

Abstract

The designed Project introduces an innovative autonomous robot for plant disease detection, harnessing the power of a Raspberry Pi, advanced imaging technology, and real time SMS alerts to revolutionize agricultural practices. Designed to navigate fields independently, this robot captures detailed images of plant leaves and employs sophisticated image processing algorithms to identify early signs of diseases, including fungal infections, bacterial blight, and nutrient deficiencies. When a potential disease is detected, the system sends instant SMS notifications to farmers, enabling immediate action to mitigate crop loss. Central to the design is the Raspberry Pi microcontroller, which orchestrates the robot’s operations and runs the detection algorithms. The high-resolution camera module plays a crucial role in ensuring accurate diagnosis, while the integrated GSM module facilitates seamless communication. Utilizing cutting-edge machine learning techniques, this system achieves high accuracy in disease recognition, even in diverse agricultural settings. Field tests have showcased its effectiveness, delivering rapid alerts and enhancing decision-making for farmers. By empowering growers with timely insights and proactive disease management, this robot not only promotes sustainable farming practices but also paves the way for smarter, technology driven agriculture.

Journal on Electronic and Automation EngineeringVol. 4(2 June 2025)
Openalex Percentile: Top 91%
Smart Agriculture and AI
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