Authors: Harshith S, Nikhilesh G, Raghunandan S, Shashank D S, Mrs. Shwetha S K
Abstract: Crop illnesses remain one of the major sources of farm losses worldwide, and identifying them at an early stage can greatly improve yield protection. Many farmers still depend on manually walking across their fields and inspecting each plant, a process that consumes significant time and can be inconsistent. This study presents a low-cost detection system we developed using an ESP32-CAM to capture images of leaves and transmit them wirelessly to a cloud-based machine learning model. The system analyses each image to determine if the leaf is healthy or affected by a particular disease, and the outcome appears immediately on a web interface accessible to farmers via their phones. Our aim was to design an affordable and easy-to-use solution so that even smallholder farmers without technical expertise can operate it with ease and confidence in their daily farming activities without needing additional support.
DOI: http://doi.org/10.5281/zenodo.20153156
