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People : Shellie, Krista

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Number of items: 4.

D

King, B.A. and Shellie, Krista and Tarkalson, D.D. and Levin, A.D. and Sharma, V and Bjorneberg, D.L. (2020) Data-driven models for canopy temperature-based irrigation scheduling. Transactions of the ASABE. 63(5):1579-1592. 14 October 2020.

E

King, B.A. and Shellie, Krista (2014) Evaluation of neural network modeing to calculate well-watered leaf temperature of wine grape. In: Irrigation Show and Education Conference. Phoenix, AZ, Nov. 17-21, 2014. 16 pp.

King, B.A. and Shellie, Krista (2016) Evaluation of neural network modeling to predict non-water-stressed leaf temperature in wine grape for calculation of crop water stress index. Agricultural Water Management. 167:38-52. 26 January 2016.

W

King, B.A. and Shellie, Krista (2018) Wine grape cultivar influence on the performance of models that predict the lower threshold canopy temperature of a water stress index. Computers and Electronics in Agrculture. 145:122-129. 3 January 2018.

This list was generated on Fri Apr 19 11:47:09 2024 MDT.
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