A rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral UAV platform-Reference-Cited by-同舟云学术

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A rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral UAV platform

Published:2019-05 Issue: Volume:282 Page:95-103
ISSN:0168-9452
Container-title:Plant Science
language:en
Short-container-title:Plant Science

Author:

Hassan Muhammad Adeel,Yang Mengjiao,Rasheed Awais^ORCID,Yang Guijun,Reynolds Matthew,Xia Xianchun,Xiao Yonggui,He Zhonghu

Funder

National Key Project

National Natural Science Foundation of China

National Key Technology R&D Program of China

International Science & Technology Cooperation Program of China

Publisher

Elsevier BV

Subject

Plant Science,Agronomy and Crop Science,Genetics,General Medicine

Reference46 articles.

1. Canopy temperature and vegetation indices from high-throughput phenotyping improve accuracy of pedigree and genomic selection for grain yield in wheat;Rutkoski;G3: Genes Genomes Genetics,2016

2. Proximal NDVI derived phenology improves in-season predictions of wheat quantity and quality;Magney;Agric. For. Meteorol.,2016

3. Estimation of bioenergy crop yield and N status by hyperspectral canopy reflectance and partial least square regression;Foster;Precis. Agric.,2017

4. Winter wheat genotype effect on canopy reflectance: implications for using NDVI for in-season nitrogen topdressing recommendations;Samborski;Agron. J.,2015

5. Red and photographic infrared linear combinations for monitoring vegetation;Tucker;Remote Sens. Environ.,1979

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