Smart Robot for Plant Disease Detection

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.

Plant phenotyping relevance

葉画像と画像処理・機械学習を中核として植物病徴を検出する自律ロボットを開発しており、植物の病害状態を直接推定する方法が中心である。

Code and data availability

The supplied blocks describe a Raspberry Pi-based plant disease detection robot with CNN classification, but contain no public dataset, image collection, code repository, or trained model deposit. No availability statements or author URLs appear, and allowed_urls is empty.

No evidence-backed public reproduction asset is currently recorded.