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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: 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.

Data and Resources

FieldValue
Modified
2019-03-18
Release Date
2019-02-13
Publisher
University of Idaho
Identifier
b44497db-61a5-4f7d-820c-123be780e6db
License
Creative Commons Attribution Non-Commercial Share-Alike
Public Access Level
Public
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