A Multimodal AI-Powered Smart Assistant for Arecanut and Black Pepper Farming with Integrated IoT and Vision-Based Disease Diagnosis

In this research, we present AgroAssist+, an intelligent mobile-first system tailored for arecanut and black pepper farmers. The system integrates voice-based assistance in Kannada, computer vision for early crop disease detection, and IoT-based real-time environmental monitoring. This research aims to bridge the technological gap in rural agricultural practices by providing an affordable, scalable, and easy-to-use AI-powered solution. Through a combination of convolutional neural networks (CNNs), speech recognition, and IoT sensor data, AgroAssist+ empowers farmers with timely insights – enhancing yield, reducing crop loss, and promoting sustainable practices.