Prediction of Leaf Area Index Using Hyperspectral Remote Sensing in Breeding Programs of Soybean-Reference-Cited by-同舟云学术

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Prediction of Leaf Area Index Using Hyperspectral Remote Sensing in Breeding Programs of Soybean

Published:2015 Issue:7 Volume:41 Page:1073
ISSN:0496-3490
Container-title:Acta Agronomica Sinica
language:en
Short-container-title:Acta Agronomica Sinica

Author:

QI Bo,ZHANG Ning,ZHAO Tuan-Jie,XING Guang-Nan,ZHAO Jin-Ming,GAI Jun-Yi

Publisher

China Science Publishing & Media Ltd.

Subject

Plant Science,Agronomy and Crop Science,Biotechnology

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comparison of Different Remote Sensors for Ramie Leaf Area Index Estimation;Agronomy;2023-03-17

2. Prediction of Oleic Acid Content of Rapeseed Using Hyperspectral Technique;Applied Sciences;2021-06-21

3. Cultivation and mulching materials strategies to enhance soil water status, net ecosystem and crop water productivity of winter wheat in semi-humid regions;Agricultural Water Management;2020-09

4. Effects of ridging and mulching combined practices on proso millet growth and yield in semi-arid regions of China;Field Crops Research;2017-11

5. Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models;Remote Sensing;2017-03-25

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