Potential of AI in Agriculture

Abstract

Articial intelligence is now being used in a variety of elds, including security, nance, agriculture, education, and even medicine. e primary source of income for more than 50% of rural Indian households and one of the country’s main economic drivers is agriculture. Articial intelligence (AI), also known as smart farming, is slowly but steadily aecting Indian agriculture and, by extension, our entire society. Our nation already uses precision agriculture, but IoT (Internet of ings) and cloud computing technologies still need to be implemented, enhanced, and developed for better crop production. Demand is steadily rising as the population expands. Agriculture’s reliance lessens on individual labourers and land as a result of modernization. Technology facilitates operational planning and expedites the decisionmaking process for farms. e Internet of ings (IoT) enables us to gather, store, create, and disseminate environmental data. e demand for cloud computing has signicantly increased, and it is expected to keep increasing in the future as cloud hosting and processing capabilities advance. IoT and AI (articial intelligence) are excellent choices to solve the problem of increased productivity. AI has a 98% accuracy rate for identifying pathogens and pests. Dierent fruit and vegetable ripening stages can be determined by sensors (Soar, 2019). Dierent cuttingedge technologies, such as block chains, machine learning, articial intelligence (AI) and big data analytics, may assist farmers in improving output and quality, which will advance sustainable agriculture.