Agricultural Crop Analysis using IoT And Machine Learning

Abstract

The power of the IoT and machine learning could radically transform agriculture using precision agriculture. Sensor data in real-time is available to farmers, allowing them to select crops and management techniques in an enlightened manner. Machine learning algorithms process the information to predict which crops are best suited for a location’s soil type, weather conditions, and other factors. This combination leads to increased resource use efficiency, improved crop production, proactive risk management, more responsible agriculture, and an opportunity for farmers to obtain data-driven suggestions. To maximize the benefits of these technologies, it is important to address problems like data rights and availability, as well as connectivity issues. This would allow for the continuation of R&D in the field.