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Nitrogen prediction in potato petioles based on spectral data and hyperspectral images
Year:
2007
Authors :
Alchanatis, Victor
;
.
Bonfil, David J.
;
.
Brikman, Roman
;
.
Cohen, Yafit
;
.
Levi, Aharon
;
.
Ostrovsky, Viacheslav
;
.
Zusman, Yonatan
;
.
Volume :
Co-Authors:
Cohen, Y., Volcani center, Agricultural Research Organization, Institute of Agricultural. Engineering, Bet-Dagan, Israel
Zusman, Y., Volcani center, Agricultural Research Organization, Institute of Agricultural. Engineering, Bet-Dagan, Israel, Seagram Center for Soil and Water Sciences, Hebrew University of Jerusalem, Rehovot, Israel
Alchanatis, V., Volcani center, Agricultural Research Organization, Institute of Agricultural. Engineering, Bet-Dagan, Israel
Dar, Z., Extension Service, Ministry of Agriculture, Bet-Dagan, Israel
Bonfil, D.
Zilberman, A., Extension Service, Ministry of Agriculture, Bet-Dagan, Israel
Karnieli, A., Agricultural Research Organization, Field Crops and Natural Resources Department, Israel
Ostrovsky, V., Jacob Blaustein Institute for Desert Research, University of Negev, Sede-Boker Campus, Ben Gurion, Israel
Levi, A., Volcani center, Agricultural Research Organization, Institute of Agricultural. Engineering, Bet-Dagan, Israel
Brikman, R., Volcani center, Agricultural Research Organization, Institute of Agricultural. Engineering, Bet-Dagan, Israel
Shenker, M., Seagram Center for Soil and Water Sciences, Hebrew University of Jerusalem, Rehovot, Israel
Facilitators :
From page:
143
To page:
150
(
Total pages:
8
)
Abstract:
Initial results are presented of an ongoing study to predict petiole N content in potatoes using spectral data and hyperspectral imaging. Five N fertilization treatments were conducted in a potato field in Israel. Spectral reflectance of single leaves and hyperspectral images captured from 20m above the crop were collected on four days in the spring of 2006. The TCARI index was calculated for spectral and hyperspectral data. High correlations were found between TCARI and petiole N content. This is a first stage in N content estimation and mapping in potato fields for variable rate fertilization.
Note:
Related Files :
Agriculture
Fertilization
Hyperspectral Data
nitrogen
spectroscopy
TCARI
Variable rate fertilization
Show More
Related Content
More details
DOI :
Article number:
0
Affiliations:
Database:
Scopus
Publication Type:
Conference paper
;
.
Language:
English
Editors' remarks:
ID:
28915
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:43
Scientific Publication
Nitrogen prediction in potato petioles based on spectral data and hyperspectral images
Cohen, Y., Volcani center, Agricultural Research Organization, Institute of Agricultural. Engineering, Bet-Dagan, Israel
Zusman, Y., Volcani center, Agricultural Research Organization, Institute of Agricultural. Engineering, Bet-Dagan, Israel, Seagram Center for Soil and Water Sciences, Hebrew University of Jerusalem, Rehovot, Israel
Alchanatis, V., Volcani center, Agricultural Research Organization, Institute of Agricultural. Engineering, Bet-Dagan, Israel
Dar, Z., Extension Service, Ministry of Agriculture, Bet-Dagan, Israel
Bonfil, D.
Zilberman, A., Extension Service, Ministry of Agriculture, Bet-Dagan, Israel
Karnieli, A., Agricultural Research Organization, Field Crops and Natural Resources Department, Israel
Ostrovsky, V., Jacob Blaustein Institute for Desert Research, University of Negev, Sede-Boker Campus, Ben Gurion, Israel
Levi, A., Volcani center, Agricultural Research Organization, Institute of Agricultural. Engineering, Bet-Dagan, Israel
Brikman, R., Volcani center, Agricultural Research Organization, Institute of Agricultural. Engineering, Bet-Dagan, Israel
Shenker, M., Seagram Center for Soil and Water Sciences, Hebrew University of Jerusalem, Rehovot, Israel
Nitrogen prediction in potato petioles based on spectral data and hyperspectral images
Initial results are presented of an ongoing study to predict petiole N content in potatoes using spectral data and hyperspectral imaging. Five N fertilization treatments were conducted in a potato field in Israel. Spectral reflectance of single leaves and hyperspectral images captured from 20m above the crop were collected on four days in the spring of 2006. The TCARI index was calculated for spectral and hyperspectral data. High correlations were found between TCARI and petiole N content. This is a first stage in N content estimation and mapping in potato fields for variable rate fertilization.
Scientific Publication
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