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פותח על ידי קלירמאש פתרונות בע"מ -
Determination of avocado maturity by near-infrared spectrometry
Year:
2001
Source of publication :
Acta Horticulturae
Authors :
אגוזי, חיים
;
.
אלבצרי, רות
;
.
דגני, חמדה
;
.
הופמן, אהרון
;
.
שמילוביץ', זאב
;
.
Volume :
562
Co-Authors:
Schmilovitch, Z., Agricultural Research Organization, Volcani Center, Institute of Agricultural Engineering, Bet Dagan, Israel
Hoffman, A., Agricultural Research Organization, Volcani Center, Institute of Agricultural Engineering, Bet Dagan, Israel
Egozi, H., Agricultural Research Organization, Volcani Center, Institute of Agricultural Engineering, Bet Dagan, Israel
El-Batzri, R., Agricultural Research Organization, Volcani Center, Institute of Horticulture, Bet Dagan, Israel
Degani, C., Agricultural Research Organization, Volcani Center, Institute of Horticulture, Bet Dagan, Israel
Facilitators :
From page:
175
To page:
179
(
Total pages:
5
)
Abstract:
Mature avocado (Persea americana Mill.) fruit do not ripen on the tree, but soften several days after being picked. There are no visible changes in the fruit, which can be used for determining maturity. Acceptable maturity indices for avocado are oil content and dry weight content, but common tests for these are destructive and labor intensive, and are limited in the number of sampled fruits that can be analyzed. A reliable non-destructive test for avocado maturity is required. The feasibility of near-infrared (NIR) spectrometry as a rapid and nondestructive alternative method for the determination of the maturity stage was tested in several orchards during the 1996 season. Several batches of fruits (100 fruits per batch) were scanned individually, in reflectance mode, in the wavelength range, 1200 to 2400 nm. Dry matter content was measured for each fruit. NIR models were developed based on Partial Least Square (PLS) regression with respect to the first derivative of the spectra. NIR models showed prediction accuracy of 0.9-1.3% Standard Error of Prediction (SEP). NIR spectrometry should be considered as an alternative method for maturity determination of avocado.
Note:
Related Files :
decision making
dry matter
harvest
Oil content
Persea americana
עוד תגיות
תוכן קשור
More details
DOI :
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר מתוך כינוס
;
.
Language:
אנגלית
Editors' remarks:
ID:
23391
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:59
Scientific Publication
Determination of avocado maturity by near-infrared spectrometry
562
Schmilovitch, Z., Agricultural Research Organization, Volcani Center, Institute of Agricultural Engineering, Bet Dagan, Israel
Hoffman, A., Agricultural Research Organization, Volcani Center, Institute of Agricultural Engineering, Bet Dagan, Israel
Egozi, H., Agricultural Research Organization, Volcani Center, Institute of Agricultural Engineering, Bet Dagan, Israel
El-Batzri, R., Agricultural Research Organization, Volcani Center, Institute of Horticulture, Bet Dagan, Israel
Degani, C., Agricultural Research Organization, Volcani Center, Institute of Horticulture, Bet Dagan, Israel
Determination of avocado maturity by near-infrared spectrometry
Mature avocado (Persea americana Mill.) fruit do not ripen on the tree, but soften several days after being picked. There are no visible changes in the fruit, which can be used for determining maturity. Acceptable maturity indices for avocado are oil content and dry weight content, but common tests for these are destructive and labor intensive, and are limited in the number of sampled fruits that can be analyzed. A reliable non-destructive test for avocado maturity is required. The feasibility of near-infrared (NIR) spectrometry as a rapid and nondestructive alternative method for the determination of the maturity stage was tested in several orchards during the 1996 season. Several batches of fruits (100 fruits per batch) were scanned individually, in reflectance mode, in the wavelength range, 1200 to 2400 nm. Dry matter content was measured for each fruit. NIR models were developed based on Partial Least Square (PLS) regression with respect to the first derivative of the spectra. NIR models showed prediction accuracy of 0.9-1.3% Standard Error of Prediction (SEP). NIR spectrometry should be considered as an alternative method for maturity determination of avocado.
Scientific Publication
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