Field phenotyping system for the assessment of potato late blight resistance using RGB imagery from an unmanned aerial vehicle-Reference-Cited by-同舟云学术

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Field phenotyping system for the assessment of potato late blight resistance using RGB imagery from an unmanned aerial vehicle

Published:2016-08 Issue: Volume:148 Page:1-10
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Sugiura Ryo,Tsuda Shogo,Tamiya Seiji,Itoh Atsushi,Nishiwaki Kentaro,Murakami Noriyuki,Shibuya Yukinori,Hirafuji Masayuki,Nuske Stephen

Funder

JSPS KAKENHI

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

Reference35 articles.

1. Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle;Berne;IEEE Transactions on Geoscience and Remote Sensing,2009

2. Visual rating and the use of image analysis for assessing different symptoms of citrus canker on grapefruit leaves;Bock;Plant Disease,2007

3. Plant disease severity estimated visually, by digital photography and image analysis, and by hyperspectral imaging;Bock;Critical Reviews in Plant Sciences,2010

4. Pheno-copter: a low-altitude, autonomous remote-sensing robotic helicopter for high-throughput field-based phenotyping;Chapman;Agronomy,2014

5. Image processing methods for quantitatively detecting soybean rust from multispectral images;Cui;Biosystems Engineering,2010

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