Big Data Analysis and Its Impact on Agriculture

Abstract

Big data analysis, with its capability to process large and diverse datasets, offers innovative solutions for sustainable agricultural practices. By leveraging IoT devices for real-time data collection from fields, soil, plants, and machinery, coupled with cloud-based integration of additional information like weather data, analysts may derive important insights and patterns. These insights enable precise farming practices, predictive algorithms for issue identification, and proactive problem-solving, ultimately leading to improved resource utilization, minimized environmental impact, and enhanced agricultural productivity. This article highlights the transformative potential of big data analytics in agriculture, emphasizing the need for stakeholders to embrace these technologies to address the challenge of increasing food production sustainably while minimizing environmental damage.