A deep learning CNN architecture applied in smart near-infrared analysis of water pollution for agricultural irrigation resources-Reference-Cited by-同舟云学术

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A deep learning CNN architecture applied in smart near-infrared analysis of water pollution for agricultural irrigation resources

Published:2020-10 Issue: Volume:240 Page:106303
ISSN:0378-3774
Container-title:Agricultural Water Management
language:en
Short-container-title:Agricultural Water Management

Author:

Chen Huazhou,Chen An,Xu Lili,Xie Hai,Qiao Hanli,Lin Qinyong,Cai Ken

Funder

National Natural Science Foundations of China

China Postdoctoral Science Foundation

the Natural Science Foundations of Guangxi Province

the Guangxi Science and Technology Base Foundation

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

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3. Effective training of convolutional neural networks for face-based gender and age prediction;Antipov;Pattern Recognit.,2017

4. Data fusion methodologies for food and beverage authentication and quality assessment–a review;Borràs;Anal. Chim. Acta,2015

5. Decision-tree-based knowledge discovery: single- vs. Multi-decision-tree induction;Chang;INFORMS J. Comput.,2008

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