Yield Prediction Model - Open Source Demo
Overview
This project demonstrates machine learning models to predict vines yield at harvest time using remote sensing data, weather information, soil properties, and agronomic attributes.
The models predict:
TCH (Tons of Grapes per Hectare): Vines yield at harvest
Files
training_features_anonymized.csv - Dataset for model training (926 rows × 589 columns)
BuildModels_open_source.ipynb - Self-contained notebook for… See the full description on the dataset page: https://huggingface.co/datasets/AGRARIAN/vineyards-yield-dataset.