Estimation of leaf area index for winter wheat at early stages based on convolutional neural networks-Reference-Cited by-同舟云学术

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Estimation of leaf area index for winter wheat at early stages based on convolutional neural networks

Published:2021-11 Issue: Volume:190 Page:106480
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Li Yunxia,Liu Hongjie,Ma Juncheng,Zhang Lingxian

Funder

China Association for Science and Technology

National Natural Science Foundation of China

China Academy of Space Technology

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference76 articles.

1. Ground-based measurements of leaf area index: A review of methods, instruments and current controversies;Bréda;J. Exp. Bot.,2003

2. Root mean square error (RMSE) or mean absolute error (MAE)? - Arguments against avoiding RMSE in the literature;Chai;Geosci. Model Dev.,2014

3. Remote sensing-based crop lodging assessment: Current status and perspectives;Chauhan;ISPRS J. Photogramm. Remote Sens.,2019

4. Leaf area index of boreal forests: Theory, techniques, and measurements;Chen;J. Geophysical Research Atmospheres,1997

5. Effects of nitrogen and radiation on dry matter and nitrogen accumulation in the spike of winter wheat;Demotes-Mainard;Field Crops Research,2004

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