This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

The findings, published in a paper titled "Knowledge-guided machine learning model with soil moisture for corn yield prediction ... based architecture is suitable for transfer learning applications, ...

1 Microfinance Technology Unit, BRAC, Dhaka, Bangladesh. 2 Microfinance Business Development Unit, BRAC, Dhaka, Bangladesh. In the face of unpredictable global economic conditions, urban populations ...

A new machine-learning model for predicting crop yield using environmental ... and Applied Genetics journal, is titled "Using machine learning to combine genetic and environmental data for maize grain ...

A new machine-learning model for predicting crop yield ... is titled “Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment ...

In agriculture sector, machine learning has been widely used by researchers for crop yield prediction ... returned by different feature selection techniques is used for yield prediction using Linear ...

Crop yield predictions are carried out to estimate higher crop yield through the use of machine learning algorithms ... Finally, a prospective architecture of machine learning-based palm oil yield ...

Machine learning (ML) algorithms have the potential to surpass the prediction ... using simpler tree-based models with greater potential for interpretability of the results. Nonetheless, the ...

Prediction of crop yield is an essential task for maximizing the global food supply, particularly in developing countries. This study investigated lettuce yield (fresh weight) prediction using four ...