Optimal zinc level and uncertainty quantification in agricultural soils via visible near-infrared reflectance and soil chemical properties-Reference-Cited by-同舟云学术

Optimal zinc level and uncertainty quantification in agricultural soils via visible near-infrared reflectance and soil chemical properties

Published:2023-01 Issue: Volume:326 Page:116701
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Agyeman Prince Chapman^ORCID,Kebonye Ndiye Michael,Khosravi Vahid^ORCID,Kingsley John,Borůvka Luboš,Vašát Radim,Boateng Charles Mario

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

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3. Using spectral indices and terrain attribute datasets and their combination in the prediction of cadmium content in agricultural soil;Agyeman;Comput. Electron. Agric.,2022

4. Soil properties prediction for precision agriculture using visible and near-infrared spectroscopy: a systematic review and meta-analysis;Ahmadi;Agronomy,2021

5. Trace element chemistry in residual-treated soil: key concepts and metal bioavailability;Basta;J. Environ. Qual.,2005

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2. Further to quantification of content, can reflectance spectroscopy determine the speciation of cobalt and nickel on a mine waste dump surface?;Science of The Total Environment;2023-05