Predicting the quality of pumpkin (Cucurbita moschata) during drying using combined computer vision and backscattering and imaging technique
Computer imaging techniques have increasingly been considered as a preferred method of inspecting the quality of fruits and vegetables during postharvest processing. This study investigated the potential of combining RGB based computer imaging and laser light backscattering imaging parameters for pr...
Main Authors: | Chikwendu, Onwude Daniel Iroemeha, Hashim, Norhashila, Dana, A. |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
Penerbit MARDI
2018
|
Online Access: | http://psasir.upm.edu.my/id/eprint/66909/1/NCAFM%20Oral-4.pdf |
Similar Items
-
Modelling the convective drying process of pumpkin (Cucurbita moschata) using an artificial neural network
by: Chikwendu, Onwude Daniel Iroemeha, et al.
Published: (2016) -
A preliminary study: kinetic model of drying process of pumpkins (Cucurbita moschata) in a convective hot air dryer
by: Hashim, Norhashila, et al.
Published: (2014) -
Backscattering imaging as a monitoring system for moisture content and colour changes in pumpkin during drying process
by: Chikwendu, Onwude Daniel Iroemeha, et al.
Published: (2020) -
Modelling effective moisture diffusivity of pumpkin (Cucurbita moschata) slices under convective hot air drying condition
by: Onwude, Daniel Iroemeha, et al.
Published: (2016) -
Kinetic model of drying process of pumpkin (Cucurbita moschata duchesne ex poir.) in a convective hot air dryer
by: Iroemeha C., Onwude Daniel
Published: (2016)