Literature DB >> 30149790

Hyperspectral Sensors and Imaging Technologies in Phytopathology: State of the Art.

A-K Mahlein1, M T Kuska2, J Behmann2, G Polder3, A Walter4.   

Abstract

Plant disease detection represents a tremendous challenge for research and practical applications. Visual assessment by human raters is time-consuming, expensive, and error prone. Disease rating and plant protection need new and innovative techniques to address forthcoming challenges and trends in agricultural production that require more precision than ever before. Within this context, hyperspectral sensors and imaging techniques-intrinsically tied to efficient data analysis approaches-have shown an enormous potential to provide new insights into plant-pathogen interactions and for the detection of plant diseases. This article provides an overview of hyperspectral sensors and imaging technologies for assessing compatible and incompatible plant-pathogen interactions. Within the progress of digital technologies, the vision, which is increasingly discussed in the society and industry, includes smart and intuitive solutions for assessing plant features in plant phenotyping or for making decisions on plant protection measures in the context of precision agriculture.

Entities:  

Keywords:  digital technologies; machine learning; noninvasive; phenotyping; plant disease detection; precision agriculture

Mesh:

Year:  2018        PMID: 30149790     DOI: 10.1146/annurev-phyto-080417-050100

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


  17 in total

1.  Agricultural plant cataloging and establishment of a data framework from UAV-based crop images by computer vision.

Authors:  Maurice Günder; Facundo R Ispizua Yamati; Jana Kierdorf; Ribana Roscher; Anne-Katrin Mahlein; Christian Bauckhage
Journal:  Gigascience       Date:  2022-06-17       Impact factor: 7.658

Review 2.  New approaches to improve crop tolerance to biotic and abiotic stresses.

Authors:  Miguel González Guzmán; Francesco Cellini; Vasileios Fotopoulos; Raffaella Balestrini; Vicent Arbona
Journal:  Physiol Plant       Date:  2021-09-17       Impact factor: 5.081

3.  Technical workflows for hyperspectral plant image assessment and processing on the greenhouse and laboratory scale.

Authors:  Stefan Paulus; Anne-Katrin Mahlein
Journal:  Gigascience       Date:  2020-08-01       Impact factor: 6.524

Review 4.  Research Progress on the Early Monitoring of Pine Wilt Disease Using Hyperspectral Techniques.

Authors:  Weibin Wu; Zhenbang Zhang; Lijun Zheng; Chongyang Han; Xiaoming Wang; Jian Xu; Xinrong Wang
Journal:  Sensors (Basel)       Date:  2020-07-03       Impact factor: 3.576

5.  Statistical shape analysis of tap roots: a methodological case study on laser scanned sugar beets.

Authors:  Behrend Heeren; Stefan Paulus; Heiner Goldbach; Heiner Kuhlmann; Anne-Katrin Mahlein; Martin Rumpf; Benedikt Wirth
Journal:  BMC Bioinformatics       Date:  2020-07-29       Impact factor: 3.169

6.  Pre-Symptomatic Detection of Viral Infection in Tobacco Leaves Using PAM Fluorometry.

Authors:  Alyona Grishina; Oksana Sherstneva; Marina Grinberg; Tatiana Zdobnova; Maria Ageyeva; Andrey Khlopkov; Vladimir Sukhov; Anna Brilkina; Vladimir Vodeneev
Journal:  Plants (Basel)       Date:  2021-12-16

Review 7.  Bacteriophage-Mediated Control of Phytopathogenic Xanthomonads: A Promising Green Solution for the Future.

Authors:  Emilio Stefani; Aleksa Obradović; Katarina Gašić; Irem Altin; Ildikó K Nagy; Tamás Kovács
Journal:  Microorganisms       Date:  2021-05-13

8.  Wheat Spike Blast Image Classification Using Deep Convolutional Neural Networks.

Authors:  Mariela Fernández-Campos; Yu-Ting Huang; Mohammad R Jahanshahi; Tao Wang; Jian Jin; Darcy E P Telenko; Carlos Góngora-Canul; C D Cruz
Journal:  Front Plant Sci       Date:  2021-06-17       Impact factor: 5.753

9.  Hyperspectral remote sensing to detect leafminer-induced stress in bok choy and spinach according to fertilizer regime and timing.

Authors:  Hoang Dd Nguyen; Christian Nansen
Journal:  Pest Manag Sci       Date:  2020-02-07       Impact factor: 4.845

10.  Assessment of Fusarium Infection and Mycotoxin Contamination of Wheat Kernels and Flour Using Hyperspectral Imaging.

Authors:  Elias Alisaac; Jan Behmann; Anna Rathgeb; Petr Karlovsky; Heinz-Wilhelm Dehne; Anne-Katrin Mahlein
Journal:  Toxins (Basel)       Date:  2019-09-21       Impact factor: 4.546

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