Abstract
The advent of big data analytics is revolutionizing the agro-industrial complex, particularly in the realm of precision agriculture. This article explores how big data technologies are advancing precision farming practices and contributing to global food security. By integrating data from diverse sources such as satellite imagery, weather stations, soil sensors, and farm management systems, big data analytics enables farmers to make informed decisions that optimize resource use, enhance crop yields, and reduce environmental impact. This study examines key applications of big data in precision agriculture, including predictive modeling for crop health, real-time monitoring of soil conditions, and data-driven pest management strategies. Furthermore, it discusses the socio-economic benefits of big data adoption, such as increased efficiency, cost savings, and improved resilience against climate variability. Case studies from various regions highlight successful implementations and the resulting improvements in agricultural productivity and sustainability. The findings underscore the critical role of big data in transforming agricultural practices and ensuring food security in the face of growing global challenges. By leveraging the power of big data, the agro-industrial complex can achieve a more sustainable and secure future, addressing the needs of a rapidly expanding population.
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