Machine learning approaches can aid in better horticulture decisions for crop selection. Crop yield prediction is predicting the crop's production based on historical data that includes ... parameters ...

This definitely means that any data during prediction that lies in the empty interval which is from 28 to 35 does not directly fit in the data-set, but can be approximated by the training algorithm ...

Keywords: crop production, crop prediction, agricultural data processing, machine learning, ensemble learning. Citation: Hasan M, Marjan MA, Uddin MP, Afjal MI, Kardy S, Ma S and Nam Y (2023) Ensemble ...

Applied supervised ML on temporal sentinel-2 data to generate models to predict potato crop using the principles of remote sensing and further utilising various potato crop sensitive vegetation ...

Note: This table indicated the favorable weather indicator for different growth stages of Potato. A2) Favorable Weather Condition responsible for Potato: LB Temperature 16˚C - 20˚C. Cold and humid ...