Data-Driven Agriculture: Empowering Farmers with IoT and Analytics

Abstract

Abstract: The agriculture industry faces daunting challenges like climate change, water scarcity, and pest outbreaks, hindering farmers from meeting the demands of a growing population. To tackle these issues, this project proposes a smart farming platform integrating IoT devices, data analytics, and a user-friendly interface. It aims to optimize crop management, boost yields, and conserve resources. The platform includes sensor nodes and IoT devices gathering data on soil moisture, temperature, humidity, light intensity, and atmospheric conditions. It leverages predictive analytics for real-time insights on crop health, growth patterns, and potential threats like diseases and pests. Early detection mechanisms using image recognition and AI algorithms will be employed. Weather forecasting integration helps in decision-making for agricultural operations. Crop-specific recommendations based on local conditions are provided. The platform offers a dashboard interface for real-time monitoring, notifications, and remote control of automated systems. Historical data analysis aids in identifying patterns and trends for future crop cycles.