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 ...

enabling real-time predictions with minimal effort. Additionally, Azure ML supports CI/CD pipelines, allowing for automated testing, versioning, and deployment of models using MLOps best practices.

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 ...