Abstract:
Digital technologies are pervasive, portable, and mobile, and they are revolutionizing agricultural and food production. There is no denying that the agricultural sector is undergoing a digital transformation as mobile technologies, remote sensing services, and distributed computing are already improving smallholders’ access to information, inputs, and markets, increasing manufacturing and productivity, smooth supply chains, and embracing technology costs. The Indian economy heavily depends on agriculture. Over 60% of Indians work in agriculture, which also accounts for one-third of the nation’s income and contributes significantly to the development of the nation. Digitalization has had an impact on agricultural and food production systems, allowing for the use of technologies and advanced data processing techniques in the agricultural field. The goal is to provide a comprehensive understanding of the various effects of digital technologies on society through a framework that aims to provide a deeper understanding of the relationship between the physical, cyber and social strategies for successfully implementing the digital transformation of a system. Using an agriculture cyber-physical systems makes agriculture smarter, which connect Internet of Things with other technologies like artificial intelligence (AI) and machine learning can aid in boosting crop yields, decreasing water waste, and lowering fertilizer usage, a range of agricultural factors that have a direct impact on crop selection. Second, it transmits this data to a server that uses it to forecast farm-ready yields. Digital farming aims to solve several existing challenges in food security, climate protection, and resource management by utilizing available information from agricultural assets. The use of digital techniques is anticipated to increase optimization and decision-making support. It covers a broad framework of digital twins in agricultural fields, including soil, irrigation, robotics, farm equipment, and food postharvest processing. Data collection, modeling, including big data, AI, simulation, analysis, and prediction as well as communication components of the digital twin in agriculture are explored. As the next phase of the digitalization paradigm, digital twin technologies can assist farmers by continuously and in real-time monitoring the physical world (the farm) and updating the state of the virtual world. The potential of digital technologies to transform the agricultural and rural sectors is often seen as a promising opportunity in various aspects of society. © 2024 Elsevier Inc. All rights reserved.
