IoT, BigData, and Cloud computing are revolutionizing the way agriculture functions as an Industry in India and around the world. Data Analysis in agriculture globally is valued currently at 565 million USD, and the projected valuation by 2023 is 1256 million USD.
Data Analysis in agriculture is being leveraged to optimize every step in the agriculture lifecycle to be more cost-effective and efficient. From crop selection, cultivation method, harvesting, and supply chain management, the impact is being felt at every stage of the value chain.
With sensors and connected devices interacting with each other on the farm, farm owners and managers are now equipped with volumes of crop data in real time to guide farmer’s actions. Big data in agriculture is transforming livestock care, developing efficient risk assessment modules, democratizing the potential of urban farming, and catalyzing efficient use of resources (land and labor).
Here are some of the major benefits of applying data mining and machine learning techniques in agriculture.