A Study on Smart Farming Agriculture

Abstract

There is a lot of literature on various forms of digitization in agriculture (big data, internet of things, augmented reality, robotics, sensors, 3D printing, computer integration, ubiquitous connectivity, artificial intelligence, digital twins and block chain among others), social science researchers have recently begun to explore various aspects of digital agriculture related to production systems, value Chains and food systems. This led to a growing but fragmented physical social science literature. So, no overview of how and about this field of study is growing. Where is it article purpose contribute this special issue seventeen articles then precision agriculture, digital agriculture, smart agriculture or the dynamics, economic and organizational issues of agriculture in society. According to an assessment of the literature, social science literature on the digitization of agriculture can be grouped into five themes: The adoption, use, and adaptation of digital technologies in agriculture; the effects of digitization on farmer identity, skill sets, and labor; the powerful, ethical, and private digitization of agricultural production systems and value chains; the adoption, use, and adaptation of agricultural knowledge and innovation systems (AKIS); and the economics and management of digital agriculture production systems and value chains. Network of things a promising technology exists that offers effective and dependable solutions for upgrading numerous domains. Web based solutions are being created primarily to monitor and autonomously maintain agricultural farms with the least amount of human intervention. The article discusses a number of Internet of Things applications in agriculture. This explains it key elements are smart farming. It is only through information management that crops can be profitably converted modern agricultural advances are causing smart agriculture to expand tremendously and become a vital component, which will be important for producers' decision-making. Objective data collected by sensors with the intention of boosting productivity and sustainability yields significant advantages. This kind of data-based management farms can boost reliance on data by preventing resource. Given its enormous potential to help both producers, the push for the widespread use of information and communication technology (ICT) in the digitization of the agricultural industry is currently gathering speed. On the other hand, introducing technological solutions into rural settings presents a number of difficulties