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
Field | Value |
---|---|
Modified | 2019-03-18 |
Release Date | 2019-02-13 |
Publisher | |
Identifier | 0ebfc453-ab5e-46de-9ab6-ff1ebd0182f0 |
License | |
Public Access Level | Public |