A case study on prediction of sensitivity of tomato sepals to fungal infection using hyperspectral imaging

Sanja Brdar; Esther Hogeveen-van Echtelt; Marko Panic; M.G.J. Mensink; Zeljana Grbovic; Najim El Harchioui; A. Chauhan

doi:10.5281/zenodo.4005769

A case study on prediction of sensitivity of tomato sepals to fungal infection using hyperspectral imaging

Sanja Brdar, Esther Hogeveen-van Echtelt, Marko Panic, M.G.J. Mensink, Zeljana Grbovic, Najim El Harchioui, A. Chauhan

Post Harvest Technology

Research output: Chapter in Book/Report/Conference proceeding › Abstract

Original language	English
Title of host publication	Book of Abstracts European Federation for Information Technology in Agriculture, Food and the Environment (EFITA) 2019
Publisher	EFITA
Pages	42-43
DOIs	https://doi.org/10.5281/zenodo.4005769
Publication status	Published - 27 Jul 2019
Event	European Federation for Information Technology in Agriculture, Food and the Environment (EFITA) - Rhodes Island, Greece Duration: 27 Jul 2019 → 29 Jul 2019 Conference number: 12

Conference/symposium

Conference/symposium	European Federation for Information Technology in Agriculture, Food and the Environment (EFITA)
Abbreviated title	12th EFITA International Conference
Country/Territory	Greece
City	Rhodes Island
Period	27/07/19 → 29/07/19

Access to Document

10.5281/zenodo.4005769Licence: CC BY

https://edepot.wur.nl/572300Licence: CC BY

ANTARES: Centre of Excellence for Advanced Technologies in Sustainable Agriculture and Food Security
1/03/17 → 28/02/25
Project: EU research project

Cite this

Brdar, S., Hogeveen-van Echtelt, E., Panic, M., Mensink, M. G. J., Grbovic, Z., El Harchioui, N., & Chauhan, A. (2019). A case study on prediction of sensitivity of tomato sepals to fungal infection using hyperspectral imaging. In Book of Abstracts European Federation for Information Technology in Agriculture, Food and the Environment (EFITA) 2019 (pp. 42-43). EFITA. https://doi.org/10.5281/zenodo.4005769

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title = "A case study on prediction of sensitivity of tomato sepals to fungal infection using hyperspectral imaging",

author = "Sanja Brdar and {Hogeveen-van Echtelt}, Esther and Marko Panic and M.G.J. Mensink and Zeljana Grbovic and {El Harchioui}, Najim and A. Chauhan",

year = "2019",

month = jul,

day = "27",

doi = "10.5281/zenodo.4005769",

language = "English",

pages = "42--43",

booktitle = "Book of Abstracts European Federation for Information Technology in Agriculture, Food and the Environment (EFITA) 2019",

publisher = "EFITA",

note = "European Federation for Information Technology in Agriculture, Food and the Environment (EFITA) , 12th EFITA International Conference ; Conference date: 27-07-2019 Through 29-07-2019",

}

Brdar, S, Hogeveen-van Echtelt, E, Panic, M, Mensink, MGJ, Grbovic, Z, El Harchioui, N & Chauhan, A 2019, A case study on prediction of sensitivity of tomato sepals to fungal infection using hyperspectral imaging. in Book of Abstracts European Federation for Information Technology in Agriculture, Food and the Environment (EFITA) 2019. EFITA, pp. 42-43, European Federation for Information Technology in Agriculture, Food and the Environment (EFITA) , Rhodes Island, Greece, 27/07/19. https://doi.org/10.5281/zenodo.4005769

A case study on prediction of sensitivity of tomato sepals to fungal infection using hyperspectral imaging. / Brdar, Sanja; Hogeveen-van Echtelt, Esther; Panic, Marko et al.
Book of Abstracts European Federation for Information Technology in Agriculture, Food and the Environment (EFITA) 2019. EFITA, 2019. p. 42-43.

Research output: Chapter in Book/Report/Conference proceeding › Abstract

TY - CHAP

T1 - A case study on prediction of sensitivity of tomato sepals to fungal infection using hyperspectral imaging

AU - Brdar, Sanja

AU - Hogeveen-van Echtelt, Esther

AU - Panic, Marko

AU - Mensink, M.G.J.

AU - Grbovic, Zeljana

AU - El Harchioui, Najim

AU - Chauhan, A.

N1 - Conference code: 12

PY - 2019/7/27

Y1 - 2019/7/27

U2 - 10.5281/zenodo.4005769

DO - 10.5281/zenodo.4005769

M3 - Abstract

SP - 42

EP - 43

BT - Book of Abstracts European Federation for Information Technology in Agriculture, Food and the Environment (EFITA) 2019

PB - EFITA

T2 - European Federation for Information Technology in Agriculture, Food and the Environment (EFITA)

Y2 - 27 July 2019 through 29 July 2019

ER -

A case study on prediction of sensitivity of tomato sepals to fungal infection using hyperspectral imaging

Conference/symposium

Access to Document

Projects

ANTARES: Centre of Excellence for Advanced Technologies in Sustainable Agriculture and Food Security

Cite this