Predicting soil carbon stock in remote areas of the Central Amazon region using machine learning techniques

Geoderma Regional - Tập 32 - Trang e00614 - 2023
Ana Carolina S. Ferreira1, Érika Flávia Machado Pinheiro2, Elias M. Costa1, Marcos Bacis Ceddia3
1Postdoctoral researcher at Laboratory of Water and Soils in Agroecosystem, Federal Rural University of Rio de Janeiro, BR 465, Brazil
2Dynamics of Soil Organic Matter, Laboratory of Soil Organic Matter and Waste Treatment, Department of Agro Technologies and Sustainability (DATS), Institute of Agronomy, Federal Rural University of Rio de Janeiro, Brazil
3Professor of Soil Physics and Digital Soil Mapping. Department of Agro Technologies and Sustainability, Institute of Agronomy (DATS), Federal Rural University of Rio de Janeiro, Laboratory of Water and Soils in Agroecosystem, Federal Rural University of Rio de Janeiro, BR 465, Brazil

Thông tin
Thông tin xuất bản

Geoderma Regional

Tập 32

e00614

Thông tin tác giả