Affiliation:
1. School of Computer Application, Lovely Professional University, India
2. School of Liberal and Creative Arts (Social Sciences and Languages), Lovely Professional University, India
Abstract
Several studies have shown that Artificial Intelligence (AI) algorithms can accurately predict crop yields based on data from various sources, such as weather conditions, soil moisture levels, and crop growth rates. Integration of AI in agriculture has the potential to revolutionize the way we grow and produce food. By collecting and analysing data, optimizing resource utilization, and increasing sustainability, AI can help farmers improve crop yields and reduce waste, leading to a more efficient and sustainable agricultural sector. However, there are also concerns about the impact of AI on employment and the potential for unintended consequences, so it will be important to proceed with caution and continue to monitor the effects of AI on agriculture. The use of (AI) in agriculture has been the subject of numerous studies and research papers in recent years. In this chapter, authors examine some of the key findings and insights from the agriculture sector. Major contributions by a number of start-ups have been considered for explanation purpose.