A Review of Machine Learning Applications and Their Predictive Solutions in Agriculture

Tanjea Ane *

Department of Computer Science and Information Technology, Bangabandhu Sheikh Mujibur Rahman Agricultural University,01771951428, Bangladesh.

*Author to whom correspondence should be addressed.


Abstract

The agricultural revolution has made an innovative wave for global production systems through digital and smart technology. Modern agriculture is being connected to smart technology to improve efficiency in production. Besides, innovative technology helps farmers to understand crop insights and assist with accurate crop information. This study’s aim is to survey machine learning applications and their predictive solutions in the agriculture industry. This study briefs out existing machine learning models and prediction result summaries in agricultural data. The article's findings reveal the estimated prediction model for forecasting output and predictive solutions in agricultural farming practices. The article employs previous articles to result in machine learning prediction model workflow and the main goal of this study is to find more innovative suggestions for farmers to follow in agricultural farming practices.

Keywords: Agriculture revolution, machine learning, agriculture intelligence, prediction model


How to Cite

Ane, Tanjea. 2024. “A Review of Machine Learning Applications and Their Predictive Solutions in Agriculture”. Asian Journal of Advances in Agricultural Research 24 (7):80-90. https://doi.org/10.9734/ajaar/2024/v24i7525.

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