Evolving AI in agriculture value chain

Digital agricultural technologies (DA) have the potential to improve agriculture’s complex operational inefficiencies, which are a major drag on the Indian economy. We examine and put together the research that is currently accessible on digital agriculture in India and project its revolutionary potential over the next ten years. A continuous transition from individual farms to the entire value chain is taking place thanks to agritech’s ability to enable innovation at numerous points along value chains. Information and communication technology-based solutions are giving way to the Internet of Things and services that are enabled by artificial intelligence and machine learning in this industry. India’s governmental policy reveals evidence of extensive collaboration and investment in the field, with a clear emphasis on the growth of data infrastructure. We identify the main determinants of DA’s success in India as being smallholder dominance, diversity in production systems, the dominance of commodity crops, proximity to metropolitan markets, and state policy. A digital transformation of Indian agriculture is strongly suggested by the review of the technologies already available and their implementations by the public sector, tech giants, information technology leaders, and agri-food tech entrepreneurs in India.