Instrumented Color Determination and Sensory Analysis of Tomato Fruits (Lycopersicum Esculentum Mill)
Celina de Almeida,
Inacio Maria Dal Fabbro and
Jonathan Gazzola
Additional contact information
Celina de Almeida: Faculty of Agronomical Engineering, State University of Minas Gerais, Belo Horizonte, Brazil
Inacio Maria Dal Fabbro: Faculty of Agricultural Engineering, State University of Campinas, Campinas, Brazil
Jonathan Gazzola: Nature Sciences Center, Federal University of São Carlos, São Carlos, Brazil
International Journal of Agricultural and Environmental Information Systems (IJAEIS), 2017, vol. 8, issue 1, 49-62
Abstract:
This research work reports the evaluation of tomato fruits (Lycopersicum esculentum Mill) by means of sensory analysis as well as through instrumented color determination aiming of establishing some correlations between the results yielded by the two methods. Nowadays tomato fruits selection and sorting are based on the uniformity of physiological maturity which is considered adequate for harvesting. The sensory analysis was carried by selecting a group of trained volunteers applying a non-structured scale. The instrumental readings were carried using a “Macbeth” HUNTERLab equipment at five selected points on the transversal fruit axis. The sensory color determination indicated no significant differences (p = 0.05) between the following groups of days: 1, 3 and 5; 5 and 8; 10 and 12; and 12, 15, 17 and 19, however it indicated the occurrence of differences between the groups. Tomato fruits showed moderately characteristic colors between the 10th and 12th days and very characteristic colors from the 12thday.
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJAEIS.2017010105 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:igg:jaeis0:v:8:y:2017:i:1:p:49-62
Access Statistics for this article
International Journal of Agricultural and Environmental Information Systems (IJAEIS) is currently edited by Frederic Andres
More articles in International Journal of Agricultural and Environmental Information Systems (IJAEIS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().