From Sensors to Solutions: A Survey on IoT and Machine Learning in Modern Agriculture

In recent years, the convergence of Internet of Things (IoT) devices and Machine Learning (ML) algorithms has paved the way for precision agriculture. By leveraging IoT sensors and real-time data analysis through ML algorithms, farming practices can be optimized for water usage, soil health, crop prediction, and pest control. This survey explores various IoT devices used in agriculture, the integration of ML models, and presents a comparative analysis for different scenarios. Finally, we provide recommendations for the most optimal configurations in various agricultural settings.