Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 190

The DOI matches its Crossref record.

Scheduling Irrigations Using Climate-Crop-Soil Data

Jensen, Marvin E., Robb, David C.N., Franzoy, C. Eugene·1970·Journal of the Irrigation and Drainage Division

Abstract

The most important factor affecting irrigation efficiencies and crop yields is scheduling irrigations in time and amount. Overirrigation may result in waterlogged soils, a condition which reduces yields and generally results in increased costs for water, fertilizer, and drainage. Water use is at a minimum when the amount of water applied is just equal to the consumptive use and the leaching requirement. To achieve higher irrigation efficiencies, present irrigation scheduling practices must be improved. Irrigation scheduling using climate-crop-soil data, computers to facilitate the tedious computations, and field observations by experienced personnel is a service that appears to be very attractive to the modern irrigation farm manager. This service has the potential of increasing the management skills of the farmer and his net return at a reasonable cost. It supplements the art of irrigation or experienced judgment with the results of recent advances in irrigation science.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1061/jrcea4.0000699

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 190

Metadata

Authors
Jensen, M. E., Robb, D. C. N., & Franzoy, C. E.
Venue
Journal of the Irrigation and Drainage Division
Published
1970-03
Volume
96
Issue
1
Pages
25-38
ISSN
  • 0044-7978 (ISSN-L)
  • 2690-3296
OpenAlex
W2171507619
Cited by
190
References
0
FWCI
24.53
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Scheduling Irrigations Using Climate-Crop-Soil Data. https://app.cochat.ai/papers/10.1061/jrcea4.0000699
The paper
Jensen, M. E., Robb, D. C. N., & Franzoy, C. E. (1970). Scheduling Irrigations Using Climate-Crop-Soil Data. Journal of the Irrigation and Drainage Division. https://doi.org/10.1061/jrcea4.0000699

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.