Application of Artificial intelligence in Agriculture

Abstract

At the moment, the agricultural sector is a promising direction in the development of modern technologies using artificial intelligence (hereinafter – AI). To prevent hunger, the development of the agricultural sector is seen as relevant. Statistics show that the population of the Earth is growing, respectively, the number of products for providing people with the necessary food products is also increasing. To date, there are three areas of application of modern technologies in agriculture: computer vision, machine learning and predictive analytics. Agricultural robots are created in order to ensure the effective use of AI in the agricultural sector. Artificial intelligence is a complex of software methods that carry out activities comparable to the creative activity of a person. With the use of modern technologies, agricultural enterprises have the ability to remotely carry out weeding, spot-spray pesticides using UAVs, monitor the behavior of livestock, detect animals diseases. The process of spraying plants, checking the soil without delivering it to the laboratory, as well as the process of harvesting and sorting crops is automated. Another application of AI in agriculture is the use of surveillance systems based on artificial intelligence for monitoring, which makes it possible to identify illegal actions, such as unauthorized access to the territory of an agricultural enterprise. The use of technology using artificial intelligence in agriculture makes it possible to reduce possible risks by predicting climate change. The use of computer vision is also used to detect diseases of agricultural crops and livestock.