Application of Machine Learning Approaches in Crop Management

Pp: 199-210 (12)

* (Excluding Mailing and Handling)

Abstract

Agriculture is considered one of the evergreen and blooming sectors which is continuously addressing the needs of the growing population around the world. In a country like India with hundred crore population, 37 million to 118 million still depend on farming. The use of machinery and modern practices in agriculture is still not followed by the majority of farmers. Adoption of modern farm practices can result in increased yield of the crop, reduction in pollution, less water consumption, effective pest management and pesticide usage. There is a need for a lot of research on new inventions that help farmers to overcome these challenges. Artificial intelligence and machine learning are two domains that need to be utilized to address the challenges. Even though many researchers have focused on these issues, it is still way war far behind. In this paper, I would like to propose some of the approaches of Artificial Intelligence and Machine Learning that address the challenges faced by farmers.

Keywords: Artificial intelligence, Agriculture, Machine learning, Pest management, Pesticide.

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