Intelligent Plant Health Insight System

Plant diseases cause significant agricultural losses worldwide, yet traditional manual detection methods remain slow, inaccurate, and reliant on expert knowledge. This paper presents the Intelligent Plant Health Insight System (IPHIS), an automated solution that integrates Convolutional Neural Network (CNN)-based image classification for plant disease detection with a conversational chatbot module and a seasonal care recommendation engine. The system accepts plant leaf images as input, identifies diseases using a ResNet-based deep learning model trained on the PlantVillage dataset, and delivers treatment suggestions in real time. The chatbot provides interactive query resolution for farmers, while the seasonal care module offers crop-specific guidance based on environmental conditions. Experimental results demonstrate that the proposed system achieves approximately 96.4% classification accuracy on the test dataset, outperforming several existing approaches. The integrated design makes IPHIS a practical and accessible tool for modern smart agriculture.