Smart Farming with Big Data: Enhancing Crop Yields Through Sensor and Satellite Analytics
Introduction Agriculture faces the challenge of feeding a growing global population, projected to reach 9.7 billion by 2050, while addressing climate change and resource constraints. Big Data analytics, powered by sensor and satellite data, is revolutionizing agriculture by enabling precise crop yield predictions and optimized farming practices. By integrating diverse data sources, such as soil sensors, weather data, and satellite imagery, farmers can make data-driven decisions to enhance productivity and sustainability. This chapter explores how Big Data supports crop yield prediction, detailing methodologies, applications, challenges, and future trends in smart agriculture. The Role of Big Data in Agriculture Big Data analytics processes vast, complex datasets to uncover insights that improve agricultural outcomes. In crop yield prediction, it leverages real-time and historical data to forecast yields, optimize resource use, and mitigate risks. Key Characteristics of Big Dat...