Disease Mapping for Arecanut Tree using CNN

Arecanut is a significant crop in India, with Karnataka accounting for over 80% of its cultivation. The crop is prone to various diseases, including kole roga, Pentatomid bug (Tigane Roga), yellow leaf disease, root grub, and anabe roga. This study presents a system designed to map arecanut diseases in specific locations onto a geographical web map and accurately recognize the disease. The recognition module employs a CNN-based deep learning approach, while the web interface and mapping functionalities are developed using Python and the Django framework. As a case study, the system was tested in villages around Sirsi, including Vrgasara, Agasala, and Puttanamane. The proposed system achieved a validation accuracy of 90% for detecting kole roga in the provided images.