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Presentation . 2023
License: CC BY
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Presentation . 2023
License: CC BY
Data sources: Datacite
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Monitoring-Crop-Water-Productivity-in-the-Mitidja-Plain,-Algeria-using-FAO-WaPOR-Data and-QGIS

Authors: Zoubida NEMER; Hans Van Der Kwast; Marloes Mul; Fatma Khaldaoui;

Monitoring-Crop-Water-Productivity-in-the-Mitidja-Plain,-Algeria-using-FAO-WaPOR-Data and-QGIS

Abstract

The presentation entitled "Monitoring Crop Water Productivity in the Mitidja Plain, Algeria using FAO WaPOR Data and QGIS" exemplifies the ways in which QGIS can be leveraged to analyze WaPOR data through the use of two plugins, thereby facilitating access to valuable information. The data are subsequently utilized to gain deeper insights into the complex relationship between crop productivity and the quantity and quality of groundwater employed for irrigation in the Mitidja Plain, situated in the northern region of Algeria. This innovative approach represents an initial step towards ensuring the sustainability of resources and improving water crop productivity in the area.

Keywords

Sustainability, FAO WaPOR Data, Crop productivity, Groundwater, QGIS

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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