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Developing a GIS-based spatial decision support system for automated tree crop management to optimize irrigation inputs
Year:
2012
Authors :
בן-גל, אלון
;
.
חצרוני, אמוץ
;
.
Volume :
Co-Authors:
Peeters, A., Faculty of Food,Agriculture and Environmental Sciences, Hebrew University of Jerusalem, Israel, Institute of Soil,Water and Environmental Sciences, Agricultural Research Organization, Israel
Ben-Gal, A., Institute of Soil,Water and Environmental Sciences, Agricultural Research Organization, Israel
Hetzroni, A., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Israel
Zude, M., Leibniz Institute for Agricultural Engineering, Potsdam-Bornim, Germany
Facilitators :
From page:
1415
To page:
1422
(
Total pages:
8
)
Abstract:
In recent years there has been a growing interest in the application of geographic information systems (GIS) for the development of spatial decision support systems (SDSS). The current paper presents the development of a GIS-based SDSS for precision management of tree crops. The SDSS is being developed within the framework of the '3D-Mosaic' project which aims at optimizing water consumption in orchards by employing precision agriculture methods through the application of information and communication technology (ICT). Orchards in Turkey and in Germany are monitored for plant and fruit growth under different environmental conditions and irrigation regimes. An autonomous platform is employed for the acquisition of plant data using vision systems and laser scanners for yield and leaf area prediction, and stationary crop quality sensors with wireless data transmission to the platform. Data collected by these systems on fruit development, fruit quality and tree condition, combined with acquisition of abiotic data regarding soil, terrain and climatic conditions, are used to construct a 3D GIS database. The database is currently analyzed using spatial statistical methods to assess the spatial variability of the orchard and of its environmental conditions, to determine correlations between the two and to develop management zones. These will be used for building an SDSS for site-specific orchard irrigation to support farmers in efficient and sustainable management of orchards.
Note:
Related Files :
GIS
Management zones
precision agriculture
SDSS
Spatial statistics
עוד תגיות
תוכן קשור
More details
DOI :
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר מתוך כינוס
;
.
Language:
אנגלית
Editors' remarks:
ID:
30712
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:56
Scientific Publication
Developing a GIS-based spatial decision support system for automated tree crop management to optimize irrigation inputs
Peeters, A., Faculty of Food,Agriculture and Environmental Sciences, Hebrew University of Jerusalem, Israel, Institute of Soil,Water and Environmental Sciences, Agricultural Research Organization, Israel
Ben-Gal, A., Institute of Soil,Water and Environmental Sciences, Agricultural Research Organization, Israel
Hetzroni, A., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Israel
Zude, M., Leibniz Institute for Agricultural Engineering, Potsdam-Bornim, Germany
Developing a GIS-based spatial decision support system for automated tree crop management to optimize irrigation inputs
In recent years there has been a growing interest in the application of geographic information systems (GIS) for the development of spatial decision support systems (SDSS). The current paper presents the development of a GIS-based SDSS for precision management of tree crops. The SDSS is being developed within the framework of the '3D-Mosaic' project which aims at optimizing water consumption in orchards by employing precision agriculture methods through the application of information and communication technology (ICT). Orchards in Turkey and in Germany are monitored for plant and fruit growth under different environmental conditions and irrigation regimes. An autonomous platform is employed for the acquisition of plant data using vision systems and laser scanners for yield and leaf area prediction, and stationary crop quality sensors with wireless data transmission to the platform. Data collected by these systems on fruit development, fruit quality and tree condition, combined with acquisition of abiotic data regarding soil, terrain and climatic conditions, are used to construct a 3D GIS database. The database is currently analyzed using spatial statistical methods to assess the spatial variability of the orchard and of its environmental conditions, to determine correlations between the two and to develop management zones. These will be used for building an SDSS for site-specific orchard irrigation to support farmers in efficient and sustainable management of orchards.
Scientific Publication
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