The integration of modern technologies into agriculture, widely known as Smart Farming, is transforming conventional farming practices into more data-driven and automated processes. By leveraging the power of the Internet of Things (IoT), farmers can deploy sensors in fields to monitor soil moisture, nutrient levels, temperature, and crop health in real time. These data streams, when combined with Artificial Intelligence (AI) and machine learning algorithms, enable predictive analytics for crop yield forecasting, pest detection, and precision irrigation. Cloud computing further enhances this system by offering scalable data storage and remote access, ensuring that farmers, regardless of location, can make informed decisions based on real-time insights. Additionally, data analytics helps in identifying long-term patterns that improve resource allocation, reduce costs, and enhance sustainability. The benefits of smart farming include increased productivity, optimized resource utilization, reduced environmental impact, and enhanced decision-making. However, challenges such as high implementation costs, lack of digital literacy among farmers, connectivity issues in rural areas, and data privacy concerns must be addressed for widespread adoption. Looking ahead, smart farming holds immense potential to contribute to global food security, promote sustainable agriculture, and empower farmers with intelligent tools that reshape the future of farming. ...
Authors: Deepak Lodha, Lokesh Rathore, Ranveer Narvariya,Manish Kumar Ray, Surjeet Pratap Singh, Rajkumar Uikey, SeemaKirar, Mukul Shrivastava.