אסיף מאגר המחקר החקלאי

Automated detection of malfunctions in drip-irrigation systems using thermal remote sensing in vineyards and olive orchards

Year:

2015

Source of publication :

Authors :

Volume :

Co-Authors:

Dag, A., Gilat Research Center, M.P. Negev, Israel
Cohen, Y., Agricultural Research Organization, Institute of Agricultural Engineering, Bet Dagan, Israel
Alchanatis, V., Agricultural Research Organization, Institute of Agricultural Engineering, Bet Dagan, Israel
Zipori, I., Gilat Research Center, M.P. Negev, Israel
Sprinstin, M., Agricultural Research Organization, Institute of Agricultural Engineering, Bet Dagan, Israel
Cohen, A., Agricultural Research Organization, Institute of Agricultural Engineering, Bet Dagan, Israel
Maaravi, T., Agricultural Research Organization, Institute of Agricultural Engineering, Bet Dagan, Israel
Naor, A., Golan Research Institute, Katzrin, Israel

Facilitators :

Link :

Abstract:

In the current study, the use of thermal remote sensing to detect irrigation-system malfunctions in olive orchards and table grape vineyards was evaluated. In the first part of the study, irrigation malfunctions were simulated. In the olive orchard, where deficit irrigation is routinely applied, both simulated leaks and clogs were detected. In grapevines, where full irrigation is applied, only simulated long-term dripper clogs were detectable. In the second part of the study, the accuracy of the automatic detection system was evaluated under commercial conditions. The accuracy of leak detection by thermal remote sensing was 75-90% and the reliability values of leak and clog detection were 90 and 70%, respectively. Thermal remote sensing seems to be a useful tool for detecting dripirrigation malfunctions, thereby enhancing water-use efficiency and saving on labor.

Note:

Related Files :

תוכן קשור

More details

You may also be interested in