נגישות
menu      
חיפוש מתקדם
תחביר
חפש...
הספר "אוצר וולקני"
אודות
תנאי שימוש
ניהול
קהילה:
אסיף מאגר המחקר החקלאי
פותח על ידי קלירמאש פתרונות בע"מ -
Conceptualization and implementation of knowledge based system for crop recognition in heterogeneous Mediterranean environments
Year:
2001
Authors :
כהן, יפית
;
.
Volume :
6
Co-Authors:
Cohen, Y., Environmental Information Laboratory, Department of Geography, Bar-Ilan University, Ramat-Gan 52900, Israel
Shoshany, M., Environmental Information Laboratory, Department of Geography, Bar-Ilan University, Ramat-Gan 52900, Israel
Facilitators :
From page:
2619
To page:
2621
(
Total pages:
3
)
Abstract:
A regional-oriented concept of spatial knowledge acquisition and representation is presented and discussed. The representation of real-world complex relationships is achieved by the utilization of both factual knowledge base composed of simple indications and evidential inference mechanism capabilities. Following the regional-oriented strategy, an evidential KBS for crop types recognition in Israel is constructed. The spatial information base is mainly composed of simple indications. Most indications are related to multi-temporal imagery information, representing the most updated, primary and informative source for crop types recognition. The evidential inference engine, which is based on the Gordon-Shortliffe Algorithm (GSA), successfully resolves the complex relationships actually existing between the diverse environmental variables.
Note:
Related Files :
Agriculture
Algorithms
Gordon-Shortliffe Algorithm (GSA)
image analysis
Knowledge based systems
remote sensing
עוד תגיות
תוכן קשור
More details
DOI :
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר מתוך כינוס
;
.
Language:
אנגלית
Editors' remarks:
ID:
20720
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:38
Scientific Publication
Conceptualization and implementation of knowledge based system for crop recognition in heterogeneous Mediterranean environments
6
Cohen, Y., Environmental Information Laboratory, Department of Geography, Bar-Ilan University, Ramat-Gan 52900, Israel
Shoshany, M., Environmental Information Laboratory, Department of Geography, Bar-Ilan University, Ramat-Gan 52900, Israel
Conceptualization and implementation of knowledge based system for crop recognition in heterogeneous Mediterranean environments
A regional-oriented concept of spatial knowledge acquisition and representation is presented and discussed. The representation of real-world complex relationships is achieved by the utilization of both factual knowledge base composed of simple indications and evidential inference mechanism capabilities. Following the regional-oriented strategy, an evidential KBS for crop types recognition in Israel is constructed. The spatial information base is mainly composed of simple indications. Most indications are related to multi-temporal imagery information, representing the most updated, primary and informative source for crop types recognition. The evidential inference engine, which is based on the Gordon-Shortliffe Algorithm (GSA), successfully resolves the complex relationships actually existing between the diverse environmental variables.
Scientific Publication
You may also be interested in