Automated Detection of Selected Tea Leaf Diseases by Digital Image Processing Using Convolutional Neural Network (CNN): Bangladesh Perspective
Hafijur Rahman,
Iftekhar Ahmad,
Parvej Hasan Jon
et al.
Abstract:Globally, tea production and its quality fundamentally depend on tea leaves which are susceptible to invasion from pathogenic organisms. Precise and early-stage identification of plant foliage diseases is a key element to prevent and control spreading of diseases that hinder yield and quality. Image processing techniques are a sophisticated tool that is rapidly gaining traction in the agricultural sector for the detection of a wide range of diseases with excellent accuracy. This study focuses on a pragmatic ap… Show more
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