Evidence map›Paper›PMID 41627829›Full record

ArticleWater science and technology : a journal of the International Association on Water Pollution Research2026

Spatially explicit and regionalized quantification of blue and green crop water footprints in a water-stressed river basin.

Saicharan Vasala, Shwetha H R

Abstract read
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In one paragraph

Article in Water science and technology : a journal of the International Association on Water Pollution Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Saicharan VasalaDepartment of Water Resources and Ocean Engineering, National Institute of Technology Karnataka, Surathkal, Mangalore, Karnataka 575025, India.
Shwetha H RDepartment of Civil Engineering, Sharda University, Greater Noida, UP, India E-mail: hrshwetha@nitk.edu.in.ORCID https://orcid.org/0000-0003-1199-8550

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluating crop water consumption through the water footprint (WF) offers a valuable approach to optimizing water use. The study proposes a remote sensing method to quantify blue WF (BWF), green WF (GWF), and total WF (TWF) for crops in the upper Cauvery River Basin (UCB) using evapotranspiration (ET

Indexed as

Crops, AgriculturalRiversDroughtsEnvironmental MonitoringRainWaterWater SupplyWaterblue and green water footprintcrop-type classificationdownscalingevapotranspirationvegetation coefficient

Identifiers

PMID41627829

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.