Estimation of Cotton Leaf Infection Using Deep Learning VCG16 Model on Segmented Cotton Leaf Images contained through deformable model

Volume 20 No 2 (2022)

Umang Garg

DOI: 10.48047/nq.2022.20.2.NQ22345

Abstract

Agriculture is the major area of any country economy. If plants get infected whole crop will be destroyed and that affects the complete agriculture trade. In this article we discuss about the plant leaf diseases and its detection methods. For plant leaf infection detection multiple methods are available but the deep learning approaches give best results. Here in this article the performance of VCG16 model is evaluated in which deep learning approach is used with input of segmented images received from deformable model.

Keywords

Crop, Leaf disease, Deformable model, Deep learning, VCG16 model

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