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CNN Ensemble for Groundnut Disease Detection by Abhi Sidhardha K is a document available to read on EtoBox.

This study presents an ensemble of convolutional neural network (CNN) models for the classification and detection of groundnut plant leaf diseases, utilizing a tri-CNN architecture comprising DenseNet169, Inception, and Xception. A comprehensive dataset of groundnut leaf images was created to facilitate automated disease identification, achieving an impressive accuracy rate of 98.46%. The proposed method enhances early diagnosis and control of plant diseases, which is crucial for the livelihoods of smallhol

Author

Abhi Sidhardha K

Language

EN