Optimization of spectral pre‐processing for estimating soil condition on small farms-Reference-Cited by-同舟云学术

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Optimization of spectral pre‐processing for estimating soil condition on small farms

Published:2020-12-20 Issue:1 Volume:38 Page:150-163
ISSN:0266-0032
Container-title:Soil Use and Management
language:en
Short-container-title:Soil Use and Management

Author:

Singh Kanika¹^ORCID,Aitkenhead Matt²^ORCID,Fidelis Chris³,Yinil David³,Sanderson Todd⁴,Snoeck Didier⁵,Field Damien J¹^ORCID

Affiliation:

1. Sydney Institute of Agriculturethe University of Sydney Eveleigh New South Wales Australia

2. James Hutton Institute Craigiebuckler, Aberdeen UK

3. Cocoa board of Papua New Guinea Rabaul Papua New Guinea

4. Commonwealth Scientific and Industrial Research Organisation Canberra Australian Capital Territory Australia

5. CIRADTree Crop‐Based Systems Research Unit Montpellier France

Funder

Australian Centre for International Agricultural Research

Publisher

Wiley

Subject

Pollution,Soil Science,Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/sum.12684

Reference51 articles.

1. Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy

2. Near-infrared (NIR) and mid-infrared (MIR) spectroscopic techniques for assessing the amount of carbon stock in soils – Critical review and research perspectives

3. Geology of Bougainville and Buka Islands, New Guinea: Bureau of Mineral resources;Blake D. H.;Geology, and Geophysics, Australia. Bulletin,1967

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1. Best performances of visible–near-infrared models in soils with little carbonate – a field study in Switzerland;SOIL;2024-04-10

2. E-Agriculture Planning Tool for Supporting Smallholder Cocoa Intensification Using Remotely Sensed Data;Remote Sensing;2023-07-11

3. Developing agriculture resilience in sub‐Saharan Africa;Soil Use and Management;2022-10-22

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