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פותח על ידי קלירמאש פתרונות בע"מ -
Maturity prediction of intact bell peppers by sensor fusion
Year:
2014
Authors :
איגנת, תימאה
;
.
אלחנתי, ויקטור
;
.
שמילוביץ', זאב
;
.
Volume :
104
Co-Authors:
Ignat, T., Department of Agricultural Engineering, Volcani Center, Agricultural Research Organization, Bet Dagan 50250, Israel
Alchanatis, V., Department of Agricultural Engineering, Volcani Center, Agricultural Research Organization, Bet Dagan 50250, Israel
Schmilovitch, Z., Department of Agricultural Engineering, Volcani Center, Agricultural Research Organization, Bet Dagan 50250, Israel
Facilitators :
From page:
9
To page:
17
(
Total pages:
9
)
Abstract:
The objective of this study is to present a fusion of non-destructive sensor outputs and a fusion of destructive reference parameters. The sensors used in the present work were spectrophotometers in the VIS-NIR and SWIR spectral range, hyperspectral imaging in the visible range, relaxation and ultrasonic tests, and colour measurement. As reference parameters, the following were used: total soluble solids, dry matter, osmotic potential, ascorbic acid, total chlorophylls, carotenoids content, coefficient of elasticity measured in compression and rupture mode. The fusion procedure was based on the combination of sensor outputs and the combination of reference parameters. Linear and non-linear regression methods were applied for model establishment. Multi-sensor models were found to be better than the single sensor models based on the significantly lower root mean square errors of cross validation values for all tested cultivars and all reference parameters. By the reference parameter fusion a new combined quality index was developed in order to evaluate the global quality of the produce. With the new combined quality index not only the comprehensive quality of the produce could be predicted but also its maturity stage, which can serve as a basis for better decision of harvest schedule as the new index correlate with the physical property change during growth. © 2014 Elsevier B.V.
Note:
Related Files :
carotenoids
chlorophyll
Elasticity
Growth
Mean square error
sensors
solubilization
spectroscopy
Ultrasonic testing
עוד תגיות
תוכן קשור
More details
DOI :
10.1016/j.compag.2014.03.006
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
28082
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:36
Scientific Publication
Maturity prediction of intact bell peppers by sensor fusion
104
Ignat, T., Department of Agricultural Engineering, Volcani Center, Agricultural Research Organization, Bet Dagan 50250, Israel
Alchanatis, V., Department of Agricultural Engineering, Volcani Center, Agricultural Research Organization, Bet Dagan 50250, Israel
Schmilovitch, Z., Department of Agricultural Engineering, Volcani Center, Agricultural Research Organization, Bet Dagan 50250, Israel
Maturity prediction of intact bell peppers by sensor fusion
The objective of this study is to present a fusion of non-destructive sensor outputs and a fusion of destructive reference parameters. The sensors used in the present work were spectrophotometers in the VIS-NIR and SWIR spectral range, hyperspectral imaging in the visible range, relaxation and ultrasonic tests, and colour measurement. As reference parameters, the following were used: total soluble solids, dry matter, osmotic potential, ascorbic acid, total chlorophylls, carotenoids content, coefficient of elasticity measured in compression and rupture mode. The fusion procedure was based on the combination of sensor outputs and the combination of reference parameters. Linear and non-linear regression methods were applied for model establishment. Multi-sensor models were found to be better than the single sensor models based on the significantly lower root mean square errors of cross validation values for all tested cultivars and all reference parameters. By the reference parameter fusion a new combined quality index was developed in order to evaluate the global quality of the produce. With the new combined quality index not only the comprehensive quality of the produce could be predicted but also its maturity stage, which can serve as a basis for better decision of harvest schedule as the new index correlate with the physical property change during growth. © 2014 Elsevier B.V.
Scientific Publication
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