Published Paper Details:

This paper provides a systematic implementation of the techniques of artificial intelligence for agricultural crop management. Agriculture faces many challenges, such as disease and infestation of pests, unsuitable soil treatment, inadequate drainage and irrigation and many more. Such result in severe crop failure along with environmental hazards caused by excessive chemical use. Several researches were carried out to deal with these issues. With its robust learning capabilities, the fields of artificial intelligence have become a crucial technique for solving various agricultural related problems. Systems are being developed to assist the agricultural experts around the world in finding better solutions. The sector faces numerous challenges to optimize its production, including inadequate soil care, disease and infestation of pests, big data requirements, low output and knowledge gap between farmers and technology. In agriculture the main concept of AI is its versatility, high performance, precision and cost. This paper presents a review of the soil management, crop management, weed management and disease management applications.