Selective Kernel-DenseNet for Effective Areca Plant Disease Classification

Accurate classification of Arecanut plant disease is essential for crop damage prevention, ensuring healthy yields and sustainable farming. Timely identification of diseases enables farmers to take prompt action to minimize yield losses and improve overall plantation management. However, plant diseases vary in scales from fine details like spots or small lesions to larger areas of discoloration which often leads to inaccurate performance. To address this issue, this research proposes a Selective