Chapter 11: Groundnut leaves and their disease, deficiency, and toxicity classification using a machine learning approach

K.R. Anu Bama; S. Suja Priyadharsini    Anna University Regional Campus-Tirunelveli, Tirunelveli, TN, India

Abstract

In the agricultural field, automatic identification of plant leaf diseases and deficiencies is highly desirable. The proposed work is to automate identification of crop leaves initially and then identification of multiple diseases, deficiency, and toxicity in the plant leaves. The work is validated on a real-time dataset and for crop leaf images available in PlantVillage datasets. The real-time dataset of groundnut leaves are collected from the Maruthakulam area, Tirunelveli, Tamil Nadu. The dataset contains ...

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