ISSN: 2265-6294

EMPOWERING FARMERS WITH MACHINE LEARNING FOR PLANT DISEASE DETECTION AND PREDICTION

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PADMA AERPULA ,K.SUPRIYA

Abstract

A serious issue that endangers farmers, consumers, the environment, and the world economy is plant disease. Farmers in India lose 35 percent of their harvest when field crops fail owing to diseases and pests alone. As many pesticides are extremely toxic and can be exacerbated by living things, they pose a major risk to human health. With appropriate disease identification, crop monitoring, and customized treatment approaches, these outcomes can be avoided. Generally, specialists in agriculture would initially look for outward signs of an illness. Farmers, meanwhile, seldom have access to specialists. We have created the first comprehensive, collaborative platform for autonomously diagnosing, tracking, and forecasting illnesses. By snapping images of the afflicted plant sections, farmers may quickly and effectively identify illnesses using a smartphone app.

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