Prediction of Soil Organic Matter in Black Soil Region Based on BP Neural Network with Genetic Algorithm Variable Selection-Reference-Cited by-同舟云学术

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Prediction of Soil Organic Matter in Black Soil Region Based on BP Neural Network with Genetic Algorithm Variable Selection

Published:2024-07-15 Issue: Volume:34 Page:1-6
ISSN:
Container-title:2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)
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Author:

Ma Yuyang¹,Yang Chao²,Guan Haixiang³,Xu Jingyue²,Hu Chuli²

Affiliation:

1. China University of Geosciences,College of Geography and Information Engineering,Wuhan,China

2. China University of Geosciences,National Engineering Research Center of Geographic Information System,Wuhan,China

3. China Agricultural University,College of Land Science and Technology,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10660664/10660668/10660717.pdf?arnumber=10660717

Reference10 articles.

1. Remote sensing inversion model of soil organic matter in farmland by introducing temporal information[J];Zhang;Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering,2018

2. Quantifying and mapping topsoil inorganic carbon concentrations and stocks: approaches tested in France

3. Spectroscopy of synthetic Mg-Fe pyroxenes I: Spin-allowed and spin-forbidden crystal field bands in the visible and near-infrared

4. Soil organic matter predicting with remote sensing image in typical blacksoil area of Northeast China[J];Liu;Transactions of the Chinese Society of Agricultural Engineering,2011

5. Spectroscopic Models of Soil Organic Carbon in Florida, USA

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