Machine Learning in Agriculture A Primer

Machine learning ML is a branch of artificial intelligence focused on using data and algorithms to simulate human evaluation. It refers to the automated detection of meaningful patterns in a given data and focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Some companies make use of machine learning for various processes. ML can make a real difference in agricultural productivity and profitability by reducing waste while enhancing product quality. In agriculture, it allows for more accurate disease diagnosis and crop disease prediction. This paper introduces what machine learning can do in the agriculture sector. Matthew N. O. Sadiku | Amarachi A. Nwoji | Janet O. Sadiku "Machine Learning in Agriculture: A Primer" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-6 , December 2025, URL: https://www.ijtsrd.com/papers/ijtsrd99920.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/99920/machine-learning-in-agriculture-a-primer/matthew-n-o-sadiku