Deep learning in land-use classification and geostatistics in soil pH mapping: a case study at Lakehead University Agricultural Research Station, Thunder Bay, Ontario, Canada-Reference-Cited by-同舟云学术

Deep learning in land-use classification and geostatistics in soil pH mapping: a case study at Lakehead University Agricultural Research Station, Thunder Bay, Ontario, Canada

Published:2022-08-13 Issue:03 Volume:16 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Carrillo Valeria Campos¹,Heenkenda Muditha K.²,Nelson Reg²,Sahota Tarlok Singh³,Serrano Laura Segura¹

Affiliation:

1. Tecnologico de Costa Rica, Department of Agricultural Engineering, Cartago, Costa Rica

2. Lakehead University, Faculty of Science and Environmental Studies, Department of Geography and the Environment, Thunder Bay, Ontario, Canada

3. Lakehead University Agricultural Research Station, Thunder Bay, Ontario, Canada

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference63 articles.

1. Farming in Northern Ontario: Untapped Potential for the Future

2. Ontario total farm area,2021

3. Agricultural Persistence and Potentials on the Edge of Northern Ontario

4. Northern Ontario agriculture facts and figures in brief,2021

5. Delineation of Soil Management Zones for Variable-Rate Fertilization

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