Revisions allow you to track differences between multiple versions of your content, and revert back to older versions.

University of Idaho
University of Idaho

Since 1889, the University of Idaho has provided motivated students with a transformative higher education experience that prepares them to solve real-world problems and achieve success in their lives and careers.

Learn more at https://www.uidaho.edu

Data Extent

License

Creative Commons Attribution Non-Commercial Share-Alike
[Open Data]

Other Access

The information on this page (the dataset metadata) is also available in these formats.

JSON RDF

via the DKAN API

Social

ANN-ET Project: 2018 Crop evapotranspiration and Neural network method

Agriculture
Climate

Data and Matlab scripts published in support of manuscript published in MDPI Agronomy "Using Neural Networks to Estimate Site-Specific Crop Evapotranspiration from Low Cost Sensors". This dataset includes eddy-covariance and meteorological field measurements taken in 2018 over drip irrigated hazelnut (C. avellana var.) orchards. Meta-data describing the field experiments is included in an Excel spreadsheet.

Further documentation of the neural network method can be found in the article mentioned above.

FieldValue
Modified
2019-03-18
Release Date
2019-02-13
Publisher
University of Idaho
Identifier
b44497db-61a5-4f7d-820c-123be780e6db
Spatial / Geographical Coverage Area
POLYGON ((-123.7939453125 45.015301989992, -123.80218505859 45.435080998385, -123.01940917969 45.44054150285, -123.01940917969 45.014978407491))
Spatial / Geographical Coverage Location
Yamhill County, Oregon, USA
Temporal Coverage
Saturday, May 26, 2018 - 00:00 to Monday, June 25, 2018 - 00:00
Language
English (United States)
License
Creative Commons Attribution Non-Commercial Share-Alike
Author
Jason Kelley, Eric Pardyjak, Chad Higgins
Contact Name
Jason Kelley
Contact Email
jasonrk@uidaho.edu
Public Access Level
Public