Published Paper Details:

Agriculture is a major activity in many countries around the world and with population growth, which according to UN figures will increase from 7.5 billion to 9.7 billion by 2050, there will be significant global pressure as there will be only extra 4% more land that will be used for cultivating in 2050[1]. This means that farmers will have to do more with less land. Food production will increase by 60% to feed two billion people. However, traditional methods are not enough to handle this need. This pushes farmers and agricultural companies to find new ways to increase productivity and reduce waste. As a result, Artificial Intelligence (AI) is slowly emerging as part of the technological revolution of the agricultural industry. The challenge is to increase global food production by 50% by 2050[2] to feed two billion people. Advancement in computer , artificial intelligence, and machine learning enables the expansion and placement of remote sensing technology to identify and treat plants, weeds, pests and diseases. It provides a rare opportunity to develop intelligent planting methods for accurate fertilization. Artificial intelligence solutions can enable farmers to not only reduce waste, but also improve quality and ensure faster market access of the product. In this paper we will discuss various AI technologies for improving crops and their production, problems that are faced by farmers while implementing AI, Startups of AI and future scope of AI in farming.