Multi-parameter Soil Property Prediction Incorporating Mid-infrared Spectroscopy and Dropout Sequential Artificial Neural Network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Multi-parameter Soil Property Prediction Incorporating Mid-infrared Spectroscopy and Dropout Sequential Artificial Neural Network

Published:2023-10-28 Issue:11 Volume:234 Page:
ISSN:0049-6979
Container-title:Water, Air, & Soil Pollution
language:en
Short-container-title:Water Air Soil Pollut

Author:

Jakkan Digambar A.,Ghare Pradnya,Sakode Chandrashekhar

Funder

Ministry of Electronics and IT, Government of India

Publisher

Springer Science and Business Media LLC

Subject

Pollution,Water Science and Technology,Ecological Modeling,Environmental Chemistry,Environmental Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11270-023-06726-6.pdf

Reference31 articles.

1. Bellon-Maurel, V., & McBratney, A. (2011). Near-infrared (NIR) and mid-infrared (MIR) spectroscopic techniques for assessing the amount of carbon stock in soils - Critical review and research perspectives. Soil Biology and Biochemistry, 43(7), 1398–1410. https://doi.org/10.1016/j.soilbio.2011.02.019

2. Camargo, L. A., Marques, J., Barrón, V., Alleoni, L. R. F., Barbosa, R. S., & Pereira, G. T. (2015). Mapping of clay, iron oxide and adsorbed phosphate in oxisols using diffuse reflectance spectroscopy. Geoderma, 251–252, 124–132. https://doi.org/10.1016/j.geoderma.2015.03.027

3. Centner, V., Massart, D. L., De Noord, O. E., De Jong, S., Vandeginste, B. M., & Sterna, C. (1996). Elimination of uninformative variables for multivariate calibration. Analytical Chemistry, 68(21), 3851–3858. https://doi.org/10.1021/ac960321m

4. Dangal, S. R. S., Sanderman, J., Wills, S., & Ramirez-Lopez, L. (2019). Accurate and precise prediction of soil properties from a large mid-infrared spectral library. Soil Systems, 3, 11. https://doi.org/10.3390/soilsystems3010011

5. Du, C., & Zhou, J. (2011). Application of infrared photoacoustic spectroscopy in soil analysis. Applied Spectroscopy Reviews, 46(5), 405–422. https://doi.org/10.1080/05704928.2011.570837

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3