Paper Key : IRJ************371
Author: Sahil Dattatray Pisal,Ganesh Satej Pisal,Vaibhav Shivdas Patode,Pratham Laxman Patil
Date Published: 02 Apr 2025
Abstract
The Smart Agriculture Monitoring System, which incorporates AR, IoT, and AI Analytics for Enhanced Crop Yield, seeks to transform agricultural management through cutting-edge technology integration. This innovative system employs soil moisture and DHT sensors to gather environmental data in real-time, which is then transmitted via NodeMCU to Firebase, a cloud-based database. Farmers can access this information through a Unity AR application, enabling them to monitor crucial environmental factors such as soil moisture, temperature, and humidity using an easy to-understand AR interface. Furthermore, the system features a Flask-based AI web application that analyzes sensor data to forecast crop yields based on environmental conditions and weather patterns. This AI application also includes a function for identifying plant diseases, where farmers can submit leaf images for analysis. The system then examines these images to detect diseases and provides diagnostic results along with recommendations. These AI generated findings are subsequently uploaded to Firebase and displayed in the AR application, ensuring seamless integration of all system components.
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