Assessment of a 4-input artificial neural network for ET estimation through data set scanning procedures.
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- Irrigation Science, 2011, v. 29, n. 3, p. 181, doi. 10.1007/s00271-010-0224-6
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- Article
Works matching IS 03427188 AND DT 2011 AND VI 29 AND IP 3
Results: 7
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2
Predicting soil salinity in response to different irrigation practices, soil types and rainfall scenarios.
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- Irrigation Science, 2011, v. 29, n. 3, p. 197, doi. 10.1007/s00271-010-0223-7
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- Publication type:
- Article
3
Differences in water-use efficiency among perennial forages used by the dairy industry under optimum and deficit irrigation.
- Published in:
- Irrigation Science, 2011, v. 29, n. 3, p. 213, doi. 10.1007/s00271-010-0229-1
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- Article
4
Flow rate sprinkler development for site-specific irrigation.
- Published in:
- Irrigation Science, 2011, v. 29, n. 3, p. 233, doi. 10.1007/s00271-010-0231-7
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- Publication type:
- Article
5
Evapotranspiration modeling using a wavelet regression model.
- Published in:
- Irrigation Science, 2011, v. 29, n. 3, p. 241, doi. 10.1007/s00271-010-0232-6
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- Publication type:
- Article
6
The influence of bearing cycles on olive oil production response to irrigation.
- Published in:
- Irrigation Science, 2011, v. 29, n. 3, p. 253, doi. 10.1007/s00271-010-0237-1
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- Publication type:
- Article
7
Erratum to: Estimation of actual evapotranspiration for a drip-irrigated Merlot vineyard using a three-source model.
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- 2011
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