Role of Computer Science in Transforming Modern Agriculture

Abstract

The modern farming has been transformed through computer science integration, which has brought about data-based, automated and intelligent solutions. Precision farming, optimization of resource management and enhancement of crop quality and yield are achieved through technologies like the artificial intelligence and machine learning, IoT, robotics, and big data analytics. Data collection to monitor soil, climate, and crops provides information to make an informed decision, and block chain provides supply chain transparency and traceability. Nevertheless, even with these problems, such as high cost, technical skills need and insufficient digital infrastructure, the advantages of computer science in agriculture, in terms of greater productivity, sustainability, and resilience, are immense. This review identifies the applications, benefits, difficulties and future trends with respect to digital agriculture development.