Artificial intelligence and agriculture: new challenges in the agricultural sector

Artificial Intelligence means “Non-Biological Intelligence” which denotes machine learning. It is a technology that leads exponential change. Its growing application to all human activities means that the future will be very different from the present. Artificial intelligence (AI) has been widely used in the field of agriculture to address various challenges that affect its performance. Insufficient soil treatments, disease infestation, pests, and the need for big data management are some of the challenges. AI has the capacity to advance farming and technology by offering solutions such as crop monitoring, precision farming, pest and disease detection, yield prediction, and supply chain management. AI can also improve the flexibility, high performance, precision and profitability of agriculture by reducing costs, increasing efficiency, and improving quality. Automation of agriculture is a key concern and an emerging issue for all countries, as the traditional methods used by farmers cannot meet the growing demand of the increasing population. As a result, fresh automated methods have been introduced that can offer food security and job opportunities, resulting in an agricultural revolution in this area. The use of AI and new technologies can also protect the crop from various factors such as climate changes, population growth, employment problems and food security. Moreover, AI can provide benefits in the proper use of water, pesticides, herbicides, and labor, as well as help in maintaining soil fertility and enhancing productivity and quality. The purpose of this article is to review the use of artificial intelligence in soil, crop management, weed management, and disease management.

Keywords:

Artificial intelligence , Crop management , Precision farming , Smart farming , Sustainability