Identification and diagnosis of diverse plant leaf diseases through machine learning approaches

Implementation of smart irrigation System using IoT, Raspberry – Pi and sensors for real-time data collection from fields Machine learning (CNN, RNN, ANN) models predict motor activation and optimize water usage to a great extent in predicting with very high accuracy of (CNN: 95.5%, ANN: 92.3%, RNN: 93.4%) • Integrated cloud technology: When remote/cloud technologies are incorporated, we can monitor remotely and store our historical readings in the monitoring system itself. This study highlighted the possibilities of integrated systems towards sustainable agriculture, crop health and resource optimization as prospects possible by combining IoT with machine learning and cloud storage keeping in view ever changing agricultural techniques.