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Crop Disease Classification and Detection Using Deep Learning Approach

Prajakta Jadhav, Prathmesh Sadake, Sakshi Thombare, Chenna Reddy Annapu Reddy

Abstract


Early diagnosis of plant diseases is essential because they have an effect on the evolution of their unique species. For the identification and classification of plant diseases, a variety of Machine Learning (ML) models have been employed, but with the advent of Deep Learning (DL), a subset of ML, this area of research now seems to offer substantial potential for increased accuracy. The 4th most common staple food consumed worldwide is the potato, one of the extensively consumed staple foods. Additionally, partly because of the global pandemic coronavirus, there is a considerable rise in the demand for potatoes worldwide. However, the main factor causing the harvest's fall in both quality and quantity is potato illnesses.


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