AI & Applied Tools
Machine-learning tools for agriculture and water resources. Open a project to read the summary, try the live app and view the code.
Live app
0.98
R² score
101
Countries
Regression · Decision Support
Crop Recommendation
A Random Forest model trained on 28,000+ FAO records from 101 countries that estimates the expected yield of ten staple crops from rainfall, temperature and pesticide use...
Live app
0.998
R² score
0.82 t/ha
Mean absolute error
Regression · Yield Forecasting
Crop Yield Predictor
An XGBoost pipeline that predicts crop yield in tonnes per hectare from 19 soil, nutrient, weather and farm-management variables — reaching an R² of 0.998 with a mean err...
Live app
69.5%
Best accuracy (SVM)
6
Classifiers compared
Classification · Water Resources
Water Quality Predictor
An interactive showcase that classifies water potability from nine physicochemical parameters and lets you compare six machine-learning classifiers side by side — with ho...