Role of ML in IOT in Smart Agriculture
The Role of Machine Learning in Smart Agriculture: A Greener Future with IoT In the rapidly evolving world of technology-driven farming, the fusion of Machine Learning (ML) and the Internet of Things (IoT) has revolutionized agriculture. From optimizing crop yield to automating irrigation systems, smart agriculture is transforming traditional farming into a data-powered, sustainable industry. What is Smart Agriculture? Smart agriculture uses IoT sensors, devices, and machines to collect data from farms—like temperature, soil moisture, light levels, and humidity. This data is then analyzed using Machine Learning algorithms to make informed decisions. How Does Machine Learning Empower IoT in Agriculture? 1. Crop Monitoring and Disease Detection ML models analyze images from drones or cameras to detect diseases, pests, or nutrient deficiencies in crops early. IoT devices capture real-time visuals and environmental data, feeding it into the ML system for analysis. ...