In this paper they describe the crop yield prediction and use of fertilizer the use of statistics mining. Most of the farmers are involved to comprehend the crop yield before

In the Crop Recommendation module, users can provide soil data, state, and city information, and the application employs a machine learning model to predict the optimal crops based on …

Machine learning calculations have improved the exactness of artificial intelligence machines including sensor based frameworks utilized in accuracy farming.

In this paper for crop yield prediction they obtain large volume data, it’s been called as big data (soil and weather data) using Hadoop platform and agro algorithm. Hence based repository …

machine learning algorithms on the features of the dataset. We have used 4 machine learning algorithms on our training dataset and the algorithms that gives . he appropriate type of crop to …

Crop yield predictions are carried out to estimate higher crop yield through the use of machine learning algorit... ... machine learning-based crop yield prediction method...

Mar 9, 2025 · Machine learning techniques to develop a system for crop recommendation and yield prediction, aimed at supporting data-driven agricultural decision-making. Exploratory data …

The prediction made by machine learning algorithms will help the farmers to decide which crop to grow to induce the most yield by considering factors like temperature, rainfall, area, etc.

Artificial intelligence and machine learning technologies have several uses in the contemporary agriculture sector. For example, crop recommender systems and precision agriculture can …

While accounting for eco-physiological principles, we integrated machine learning techniques with two crop model algorithms to simulate the rainfed potential yield across SSA. For locations …