Holdings: Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India

Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India

Groundwater is a primary source of drinking water for billions worldwide. It plays a crucial role in irrigation, domestic, and industrial uses, and significantly contributes to drought resilience in various regions. However, excessive groundwater discharge has left many areas vulnerable to potable w...

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Bibliographic Details
Main Authors:	Halder K., Srivastava A.K., Ghosh A., Nabik R., Pan S., Chatterjee U., Bisai D., Pal S.C., Zeng W., Ewert F., Gaiser T., Pande C.B., Islam A.R.M.T., Alam E., Islam M.K.
Other Authors:	58980024500
Format:	Article
Published:	Springer 2025
Subjects:	Bankura India West Bengal Deforestation Fertilizers Random errors Bankura district Boosting ensembles F1 scores Gradient boosting Groundwater potentials Machine learning techniques Management practises Performance Random forests Voting ensemble drinking water drought ensemble forecasting groundwater groundwater resource hydrogeology machine learning management practice mapping method training Adaptive boosting
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Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India

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