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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

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ANN-ET Project: 2017 Crop evapotranspiration and Neural network method

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 2017 over center pivot irrigated green bean crop (P. vulgaris). 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.

Data and Resources

FieldValue
Modified
2019-03-18
Release Date
2019-02-13
Publisher
University of Idaho
Identifier
0ebfc453-ab5e-46de-9ab6-ff1ebd0182f0
Spatial / Geographical Coverage Area
POLYGON ((-123.60717773438 44.308847344585, -123.60717773438 44.79814362449, -123.12377929688 44.79814362449, -123.12377929688 44.308847344585))
Spatial / Geographical Coverage Location
Benton County, Oregon, USA
Temporal Coverage
Monday, June 12, 2017 - 00:00 to Tuesday, September 5, 2017 - 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