A Review of Machine Learning Applications and Their Predictive Solutions in Agriculture
Asian Journal of Advances in Agricultural Research · pp. 80–90 · Published 1 Jul 2024
10.9734/ajaar/2024/v24i7525Abstract
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.
Cited by 4
Cristhian Fernando Sánchez-Sabando, Adriana Beatriz Sánchez-Urdaneta, Fernando David Sánchez-Mora · Life · 2024
Showing 1 of 4 known citations — external sources report more than can currently be individually listed.
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