Literature DB >> 12730386

The potential of optical canopy measurement for targeted control of field crop diseases.

Jonathan S West1, Cedric Bravo, Roberto Oberti, Dimitri Lemaire, Dimitrios Moshou, H Alastair McCartney.   

Abstract

There is increasing pressure to reduce the use of pesticides in modern crop production to decrease the environmental impact of current practice and to lower production costs. It is therefore imperative that sprays are only applied when and where needed. Since diseases in fields are frequently patchy, sprays may be applied unnecessarily to disease-free areas. Disease control could be more efficient if disease patches within fields could be identified and spray applied only to the infected areas. Recent developments in optical sensor technology have the potential to enable direct detection of foliar disease under field conditions. This review assesses recent developments in the use of optical methods for detecting foliar disease, evaluates the likely benefits of spatially selective disease control in field crops, and discusses practicalities and limitations of using optical disease detection systems for crop protection in precision pest management.

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Year:  2003        PMID: 12730386     DOI: 10.1146/annurev.phyto.41.121702.103726

Source DB:  PubMed          Journal:  Annu Rev Phytopathol        ISSN: 0066-4286            Impact factor:   13.078


  16 in total

1.  A special vegetation index for the weed detection in sensor based precision agriculture.

Authors:  Hans-R Langner; Hartmut Böttger; Helmut Schmidt
Journal:  Environ Monit Assess       Date:  2006-06       Impact factor: 2.513

2.  Spectral reflectance pattern in soybean for assessing yellow mosaic disease.

Authors:  I F Saad Gazala; R N Sahoo; Rakesh Pandey; Bikash Mandal; V K Gupta; Rajendra Singh; P Sinha
Journal:  Indian J Virol       Date:  2013-09-19

3.  Characterizing and estimating rice brown spot disease severity using stepwise regression, principal component regression and partial least-square regression.

Authors:  Zhan-yu Liu; Jing-feng Huang; Jing-jing Shi; Rong-xiang Tao; Wan Zhou; Li-Li Zhang
Journal:  J Zhejiang Univ Sci B       Date:  2007-10       Impact factor: 3.066

4.  Detection of powdery mildew in two winter wheat plant densities and prediction of grain yield using canopy hyperspectral reflectance.

Authors:  Xueren Cao; Yong Luo; Yilin Zhou; Jieru Fan; Xiangming Xu; Jonathan S West; Xiayu Duan; Dengfa Cheng
Journal:  PLoS One       Date:  2015-03-27       Impact factor: 3.240

5.  Hyperspectral phenotyping on the microscopic scale: towards automated characterization of plant-pathogen interactions.

Authors:  Matheus Kuska; Mirwaes Wahabzada; Marlene Leucker; Heinz-Wilhelm Dehne; Kristian Kersting; Erich-Christian Oerke; Ulrike Steiner; Anne-Katrin Mahlein
Journal:  Plant Methods       Date:  2015-04-15       Impact factor: 4.993

6.  Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers.

Authors:  Hongyan Zhu; Bingquan Chu; Chu Zhang; Fei Liu; Linjun Jiang; Yong He
Journal:  Sci Rep       Date:  2017-06-23       Impact factor: 4.379

Review 7.  Novel Technologies for the detection of Fusarium head blight disease and airborne inoculum.

Authors:  Jonathan S West; Gail G M Canning; Sarah A Perryman; Kevin King
Journal:  Trop Plant Pathol       Date:  2017-02-14       Impact factor: 1.488

Review 8.  Current and Prospective Methods for Plant Disease Detection.

Authors:  Yi Fang; Ramaraja P Ramasamy
Journal:  Biosensors (Basel)       Date:  2015-08-06

9.  Monitoring powdery mildew of winter wheat by using moderate resolution multi-temporal satellite imagery.

Authors:  Jingcheng Zhang; Ruiliang Pu; Lin Yuan; Jihua Wang; Wenjiang Huang; Guijun Yang
Journal:  PLoS One       Date:  2014-04-01       Impact factor: 3.240

10.  Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection.

Authors:  Jan Behmann; Kelvin Acebron; Dzhaner Emin; Simon Bennertz; Shizue Matsubara; Stefan Thomas; David Bohnenkamp; Matheus T Kuska; Jouni Jussila; Harri Salo; Anne-Katrin Mahlein; Uwe Rascher
Journal:  Sensors (Basel)       Date:  2018-02-02       Impact factor: 3.576

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