ESTIMATION OF TOMATO FRUIT FIRMNESS USING DIGITAL IMAGING
ABSTRACT omputer vision systems have proven to be a promising alternative for assessing fruit quality attributes in a non-invasive, instantaneous, and accurate manner. This study aimed to use colorimetric characteristics extracted from digital images to estimate tomato fruit firmness through multiva...
Saved in:
| Main Authors: | Anderson G. Costa, Layana A. da Silva, João C. L. de Carvalho, Túlio de A. Machado |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sociedade Brasileira de Engenharia Agrícola
2025-08-01
|
| Series: | Engenharia Agrícola |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162025000100318&lng=en&tlng=en |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Abilities of Using MS-Unit Computer Vision Hardware and Software Complex Studying Forensic Objects
by: I. V. Latyshov, et al.
Published: (2024-04-01) -
Tomato classification with YOLOv8: Enhancing automated sorting and quality assessment
by: Viviana Moya, et al.
Published: (2025-12-01) -
Ecofriendly colorimetric indicators for freshness monitoring of sliced mango fruit (Mangifera indica L.)
by: Fikrte Woldeyes Hailu, et al.
Published: (2025-06-01) -
Control of Rapid Postharvest Decays of Tomato Fruit
by: Jerry A. Bartz, et al.
Published: (2015-02-01) -
Control of Rapid Postharvest Decays of Tomato Fruit
by: Jerry A. Bartz, et al.
Published: (2015-02-01)