Methods for drip irrigation clogging detection, analysis and understanding: State of the art and perspectives
Julien Petit,
Sílvia Mas García,
Bruno Molle,
Ryad Bendoula and
Nassim Ait-Mouheb
Agricultural Water Management, 2022, vol. 272, issue C
Abstract:
Clogging is one of the main ageing factors in drip irrigation. Clogging can be physical, chemical or biological. The adequate maintenance procedures to be applied differ according to the type of clogging involved. It is therefore noteworthy to first determine the nature and amount of clogging in the field before managing maintenance operations. Laboratory-based methods can help to understand the clogging mechanisms. However, these methods require either the extraction of samples and thus the destruction of drippers or a specific installation such as transparent flow cells to observe clogging. In the field, several methods based on hydraulic measurements can estimate the presence of clogging. However they provide an indirect estimation and do not necessarily reflect the early stages of clogging. There is currently no direct method for detecting clogging in the field in the drippers. The difficulty arises both from the variety of clogging materials to be detected and from the small section of the dripper channels of the order of 1 mm². This review analyses the pros and cons of several types of sensors (electrical, mechatronic, acoustic and optical) that offer potential perspectives to meet this need.
Keywords: Lab-scale measurement; in situ measurement; In field measurment; Sensors (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378377422004206
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:agiwat:v:272:y:2022:i:c:s0378377422004206
DOI: 10.1016/j.agwat.2022.107873
Access Statistics for this article
Agricultural Water Management is currently edited by B.E. Clothier, W. Dierickx, J. Oster and D. Wichelns
More articles in Agricultural Water Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().