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@article{186005,
        author = {ADARSH S S and PROF. VARSHITHA N GOWDA and ANANYA H P and ANUSHREE S and BHARATH HAKARI},
        title = {PLANT DISEASE IDENTIFICATION USING IOT AND AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {4247-4251},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186005},
        abstract = {Agriculture plays a vital role in sustaining the global economy, but plant diseases significantly reduce crop productivity and quality. Early detection and diagnosis of plant diseases are essential to minimize losses and ensure food security. This project focuses on developing an IoT and AI-based system for automatic plant disease identification. 
The system integrates Internet of Things (IoT) sensors to continuously monitor environmental parameters such as temperature, humidity, and soil moisture, which influence disease occurrence. A camera module captures real-time images of plant leaves, which are then processed using Artificial Intelligence (AI) techniques— specifically, machine learning and deep learning algorithms (like Convolutional Neural Networks)—to detect and classify plant diseases accurately. 
Collected data is transmitted to a cloud-based platform for analysis and storage. The system provides farmers with instant alerts and disease prevention suggestions via a mobile or web application. This smart approach enables real-time monitoring, early disease prediction, and timely intervention, leading to improved crop health and increased agricultural productivity. 
The proposed model demonstrates how combining IoT and AI technologies can revolutionize precision agriculture and promote sustainable farming practices.},
        keywords = {IoT, Artificial Intelligence, Machine Learning, Deep Learning, CNN, Smart Agriculture, Plant Disease Detection.},
        month = {October},
        }