Abstract
70% of rural households depend on agriculture as a livelihood but farmers have never really benefited from the advancements in technology. As of 2020, agriculture is responsible for 19.9% of India’s GDP. Therefore in a country like India, damage to the agricultural produce due to plant and crop diseases can be very crucial. The purpose of agriculture is not only to contribute to the economy and feed the ever increasing population but it is a major source of energy and a solution to solve the problem of global warming. Due to plant diseases the quality and quantity of agricultural products is affected adversely. If proper precautions are not taken the farmer can lose an entire seasonal cultivation. Some of the plant diseases do not have visibility during early stages; they only appear at that last stage. Plant disease diagnosis is very important in earlier stages in order to treat and contain the disease as it can damage the entire cultivation. Depending on the needs of the farmer, a system that uses Machine Learning, image classification has been proposed.
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