IoT Based Crop Disease Detection and Analysis System Using Image Processing
DOI:
https://doi.org/10.48047/zsc8tb52Keywords:
.Abstract
Agriculture plays a vital role in ensuring food security, yet crop diseases significantly reduce yield and quality. Early detection and accurate diagnosis of plant diseases are essential for minimizing lossesand improving productivity. This paper proposes an Internet of Things (IoT)-based crop disease detection and analysis system using a Raspberry Pi integrated with image processing techniques. The system captures real-time images of crop leaves using a camera module, processes the images using advanced algorithms, and identifies diseases based on visual symptoms such as color, texture, and pattern variations.
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