Abstract
In the agriculture industry, disease identification is vital. As a rhizomatous crop, turmeric is widely recognized for its therapeutic use. It is vital to keep an eye on these crops. The most common diseases that affect turmeric leaves are leaf spots, leaf blotch, brown rot, dry rot, and leaf blight. The research creates a hardware system that enables early disease diagnosis and prevention before it affects the entire crop, resulting in high-quality agricultural production. Using k-means image segmentation, a database of various leaf pictures will be generated and handled. Pi camera interfaced with Raspberry Pi 4 hardware will be used to capture images of infected plants and will be used for further processing and analysis. Pesticides or insecticides will be recommended to farmers according to the status of plant disease through the use of friendly communication like WhatsApp or SMS.
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