Research Article
IoT and AI-Integrated Robotic System Monitoring Automated Disease Detection for Crops in Real-Time
@INPROCEEDINGS{10.4108/eai.28-4-2025.2358027, author={M. Manjula and M. Sundhara Pandi and Reeta Mary}, title={IoT and AI-Integrated Robotic System Monitoring Automated Disease Detection for Crops in Real-Time}, proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II}, publisher={EAI}, proceedings_a={ICITSM PART II}, year={2025}, month={10}, keywords={iot (internet of things) artificial intelligence (ai) robotic system automated disease detection smart agriculture environmental sensing machine learning plant disease identification}, doi={10.4108/eai.28-4-2025.2358027} }- M. Manjula
M. Sundhara Pandi
Reeta Mary
Year: 2025
IoT and AI-Integrated Robotic System Monitoring Automated Disease Detection for Crops in Real-Time
ICITSM PART II
EAI
DOI: 10.4108/eai.28-4-2025.2358027
Abstract
This is an IoT and Al-integrated robotic system for automated disease detection, specifically in agriculture. The system employs a row of lot sensors to collect real-time data, such as visual, and environmental parameters, which are processed by Al algorithms to detect symptoms of diseases. The robotic platform independently moves around the environment, sensing plants and making smart decisions based on the data obtained. The Al component relies on machine learning models to label various kinds of diseases. This self- governing system is capable of changing the way diseases are managed through the provision of timely and diminishing the need for human monitoring, and enabling effective resource.
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