IoT Simulated Agriculture Platform for Data Driven Farming

Agriculture is the backbone of many developing economies and plays a crucial role in ensuring food security. Traditional farming methods are largely dependent on manual observation and farmer experience, which may lead to inefficient use of water, fertilizers, and other resources. With the emergence of Internet of Things (IoT) and Artificial Intelligence (AI), agriculture is transforming into a data-driven domain. This paper proposes an IoT Simulated Agriculture Platform for Data Driven Farming that integrates simulated sensor data with real-time weather information and AI- based analytics. The platform provides intelligent recommendations related to crop selection, irrigation scheduling, fertilizer management, and soil health improvement. By using simulated IoT data, the system eliminates the need for expensive physical sensors, making it suitable for small-scale farmers, students, and researchers. Experimental evaluation shows that the system effectively supports decision making and promotes sustainable agricultural practices.