Spectral data mining for rapid measurement of organic matter in unsieved moist compost-Reference-Cited by-同舟云学术

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Spectral data mining for rapid measurement of organic matter in unsieved moist compost

Published:2013-01-30 Issue:4 Volume:52 Page:B82
ISSN:1559-128X
Container-title:Applied Optics
language:en
Short-container-title:Appl. Opt.

Author:

Chakraborty Somsubhra,Weindorf David C.,Ali Md. Nasim,Li Bin,Ge Yufeng,Darilek Jeremy L.

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering

Reference54 articles.

1. A CRITICAL EXAMINATION OF A RAPID METHOD FOR DETERMINING ORGANIC CARBON IN SOILS—EFFECT OF VARIATIONS IN DIGESTION CONDITIONS AND OF INORGANIC SOIL CONSTITUENTS

2. Rapid Identification of Oil-Contaminated Soils Using Visible Near-Infrared Diffuse Reflectance Spectroscopy

3. Spectral reflectance variability from soil physicochemical properties in oil contaminated soils

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2. Recent Trends in IOT-Enabled Composter for Organic Wastes;Lecture Notes in Civil Engineering;2021-10-26

3. Soil classification in Romanian catenas via advanced proximal sensors;Geoderma;2020-11

4. Maize yield in smallholder agriculture system—An approach integrating socio-economic and crop management factors;PLOS ONE;2020-02-24

5. Rapid quantification of lignite sulfur content: Combining optical and X-ray approaches;International Journal of Coal Geology;2019-12

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