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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

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 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.

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
DOI
10.7923/7nt0-7e64