Real time Plant Disease detection and Classification using CNN Integrated IOT Framework

Urban Farm DB summary

This paper proposes an Android application integrating plant disease detection and waste management for urban agriculture. The system uses a lightweight TensorFlow Lite CNN model to detect plant diseases from leaf images in real time and provides treatment recommendations. It also includes a module for users to submit waste complaints with images, descriptions, and GPS information, allowing administrators to monitor and update statuses via the cloud.