BottleNet18: Deep Learning-Based Bottle Gourd Leaf Disease Classification

Plant disease classification is often accomplished by visual assessment or during research facility assessment which creates setbacks bringing about yield in loss when diagnosis is completed. Plant disease detection through an automated approach is advantageous because it minimizes the amount of monitoring required in large crop farms and identifies disease signs at an early stage, i.e., when they develop on plant leaves. Our suggested method adds to the automatic recognition of plant diseases through a series of processes that include pre-processing, analysis, and classification. In this study, an unsharp masking filter utilizes to process the blurred and the unsharpened part of the real images presents as a mask for producing a sharpened resulting image. As an image enhancement, a green…