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

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

Research output: Chapter in Book/Report/Conference proceedingAbstract

Original languageEnglish
Title of host publicationBook of Abstracts European Federation for Information Technology in Agriculture, Food and the Environment (EFITA) 2019
PublisherEFITA
Pages42-42
Number of pages1
Publication statusPublished - 27 Jul 2019
EventEuropean Federation for Information Technology in Agriculture, Food and the Environment (EFITA) - Rhodes Island, Greece
Duration: 27 Jul 201929 Jul 2019
Conference number: 12

Conference

ConferenceEuropean Federation for Information Technology in Agriculture, Food and the Environment (EFITA)
Abbreviated title12th EFITA International Conference
CountryGreece
CityRhodes Island
Period27/07/1929/07/19

Cite this

Chauhan, A., El Harchioui, N., Hogeveen-van Echtelt, E., Mensink, M. G. J., Brdar, S., Panic, M., & Grbovic, Z. (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. 42-42). EFITA.