CliniScan+ : An Integrated AI – Based Lung Disease Detection Diagnosis and Smart Healthcare Support System

The agricultural sector faces persistent threats from plant diseases, which can lead to devastating crop losses and impact global food security. Timely diagnosis and appropriate treatment are critical, but access to expert phytopathology knowledge is often limited for farmers. This paper presents a holistic, AI-driven decision support system designed to bridge this gap. The system integrates two core modules: a deep learning-based disease detection module and a knowledge-based pesticide recommendation engine. The detection module utilizes a Convolutional Neural Network (CNN), trained via transfer learning on a large dataset of plant leaf images, to accurately identify various diseases. Upon successful identification, the disease label is passed to the recommendation engine. This engine queries a structured knowledge base to provide a list of suitable chemical and organic pesticides, along with application guidelines and safety precautions. This end-to-end framework provides farmers with a rapid, accessible, and actionable tool, moving beyond simple diagnosis to offer a complete “detect-and-remedy” solution for improved crop management.