This study aims to increase predictive accuracy in an IoT environment by developing a hybrid feature selection method based on the Wrapper method. Therefore, we use advanced Machine Learning (ML) ...

This paper introduces “Smart Irrigation Yield Optimization (SIYO),” a sophisticated IoT-based smart irrigation system aimed at significantly improving crop yield and growth predictions. Traditional ...

A Machine Learning project to accurately predict crop yields using real-world environmental and agricultural data. Built with LightGBM and statistical feature engineering to support smarter farming ...

Crop yield prediction using machine learning: An extensive and systematic literature review. Author(s): Sarowar Morshed Shawon, Falguny Barua Ema, Asura Khanom Mahi, Fahima Lokman Niha, H.T. Zubair.

Using machine learning for crop yield prediction in the past or the future. Alejandro Morales 1 Francisco J. Villalobos 2,3* 1 Centre for Crop ... Using machine learning for crop yield prediction in ...

Citation: Sajid SS, Shahhosseini M, Huber I, Hu G and Archontoulis SV (2022) County-scale crop yield prediction by integrating crop simulation with machine learning models. Front. Plant Sci.

Machine learning can also be used for the analysis itself. The technology can "provide predictions, recommendations or potentially prescriptive actions" for enterprise IoT deployments, according ...