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

A. Dag; Y. Cohen; V. Alchanatis; I. Zipori; M. Sprinstin; A. Cohen; T. Maaravi; A. Naor

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

In: Precision agriculture '15

Authors:

A. Dag

A. Dag
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Y. Cohen

Y. Cohen
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V. Alchanatis

V. Alchanatis
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I. Zipori

I. Zipori
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M. Sprinstin

M. Sprinstin
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A. Cohen

A. Cohen
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T. Maaravi

T. Maaravi
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A. Naor

A. Naor
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Type:: Chapter

Pages:: 519–526

DOI:: https://doi.org/10.3920/978-90-8686-814-8_64

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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 drip-irrigation malfunctions, thereby enhancing water-use efficiency and saving on labor.

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Precision agriculture '15

E-Book ISBN:: 9789086868148

Publisher:: Wageningen Academic

Print Publication Date:: 01 Jul 2015

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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

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Precision agriculture '15

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