Agriculture is the backbone of the Indian economy, with more than half of the country's people relying on it for subsistence. Crop production is predicted using machine learning techniques based on ...

Machine learning has become indispensable for predicting crop yields, significantly influencing crop selection and management strategies throughout the growing season. Extensive research has ...

This research was published as “Modeling yield response to crop management using convolutional neural networks” in the March 2020 issue of Computers and Electronics in Agriculture. It was written by ...

The algorithm can be trained using a subset of the data and evaluated using another subset to measure its performance. The final step is to deploy the model and make predictions on new data. This can ...

The project has shown promising results in predicting yield and estimating crop area. Here are some key findings: Yield Prediction Accuracy: XGBoost provides a high accuracy for yield prediction with ...

In the report by Girish [13] and Nischitha [14] , the authors use the predictive analysis carried out by using various machine learning algorithms like linear regression, Support Vector Machine (SVM), ...

Scientists have trained an AI algorithm to count the number of flowers on fruit trees using only smartphone images. The system could predict the size of a harvest months in advance — saving ...