The economic growth and food security of an agriculture-based nation are significantly influenced by agricultural planning. The choice of crop(s) is a crucial issue for agricultural planning. It is ...

These stopping criteria ensured that the optimization algorithm had converged to a minimum ... (2023) Using machine learning for crop yield prediction in the past or the future. Front. Plant Sci.

Predict crop yields in India using machine learning on data from 1997-2020. This project provides yield forecasts based on weather, soil, and fertilizer data, along with actionable recommendations via ...

Machine learning for cr-optimization ... integrates computer vision and machine learning with the lettuce growing business to demonstrate how we can improve crop yields using machine learning." ...

In our research, we employed Machine Learning (ML) & Deep Learning (DL) techniques to forecast crop yields for Bihar, India, leveraging publicly accessible datasets. Various algorithms were evaluated, ...

Multi-objective approach to optimize irrigation using a crop simulation model and historical weather data. We propose a machine learning approach based on the crop simulation model WOFOST to assess ...

A new machine-learning model for predicting crop yield using environmental data and genetic information can be used to develop new, higher-performing crop varieties. Igor Fernandes, a statistics ...