Abstract

Agriculture is one of the oldest and most important professions in the world. It plays a vital role in the economic sector. The impact and application of artificial intelligence (AI) have been prominent and evident in the agriculture sector. The world population is increasing which will require more food and agricultural products. AI can help us to produce the additional requirement of agricultural products. Agriculture faces many challenges like crop disease, lack of irrigation, water management, the effect on the environment, low output, and improper soil treatment. It can be solved by the applications of AI. The use of AI in soil management, weeding, crop monitoring and disease management can solve the problems of farmers. The application of AI in agriculture is producing more with less manpower, land, and time. AI in agriculture can foster smart farming practices to limit the loss of farmers and give them high returns. This research is conducted to review several key aspects of AI in the field of agriculture. Besides, it has highlighted the anticipation and future scopes and challenges of AI in the agricultural sectors.

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