Closed Loop Controlled Precision Irrigation Sensor Network. - Levente J. Klein; Hendrik F. Hamann; Nigel Hinds; Supratik Guha; Luis Sanchez 001; Brent S. Sams; Nick Dokoozlian (IEEE Internet Things J., 2018)

Modeling Early Indicators of Grapevine Physiology Using Hyperspectral Imaging and Partial Least Squares Regression (PLSR). - Matthew Maimaitiyiming; Maitiniyazi Maimaitijiang; Paheding Sidike; Vasit Sagan; Zoë Migicovsky; Daniel H. Chitwood; Peter Cousins; Nick Dokoozlian; Allison J. Miller; Misha T. Kwasniewski (IGARSS, 2020)

Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models. - Mahyar Aboutalebi; Alfonso F. Torres-Rua; Mac McKee; William P. Kustas; Hector Nieto; Maria Mar Alsina; Alex White 001; John H. Prueger; Lynn G. McKee; Joseph G. Alfieri; Lawrence Hipps; Calvin Coopmans; et al. (Remote. Sens., 2020)

A New, Satellite NDVI-Based Sampling Protocol for Grape Maturation Monitoring. - James M. Meyers; Nick Dokoozlian; Casey Ryan; Cella Bioni; Justine E. Vanden Heuvel (Remote. Sens., 2020)

Influence of Model Grid Size on the Estimation of Surface Fluxes Using the Two Source Energy Balance Model and sUAS Imagery in Vineyards. - Ayman Nassar; Alfonso F. Torres-Rua; William P. Kustas; Hector Nieto; Mac McKee; Lawrence Hipps; David Stevens; Joseph G. Alfieri; John H. Prueger; Maria Mar Alsina; Lynn G. McKee; Calvin Coopmans; et al. (Remote. Sens., 2020)

Assessing Daily Evapotranspiration Methodologies from One-Time-of-Day sUAS and EC Information in the GRAPEX Project. - Ayman Nassar; Alfonso F. Torres-Rua; William P. Kustas; Joseph G. Alfieri; Lawrence Hipps; John H. Prueger; Hector Nieto; Maria Mar Alsina; William A. White 001; Lynn G. McKee; Calvin Coopmans; Luis Sanchez 001; et al. (Remote. Sens., 2021)

ET Partitioning Assessment Using the TSEB Model and sUAS Information across California Central Valley Vineyards. - Rui Gao; Alfonso F. Torres-Rua; Hector Nieto; Einara Zahn; Lawrence Hipps; William P. Kustas; Maria Mar Alsina; Nicolas Bambach; Sebastian J. Castro; John H. Prueger; Joseph G. Alfieri; Lynn G. McKee; et al. (Remote. Sens., 2023)

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers. - Hamid Kamangir; Brent S. Sams; Nick Dokoozlian; Luis Sanchez 001; J. Mason Earles (CoRR, 2024)

Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards. - Hamid Kamangir; Brent S. Sams; Nick Dokoozlian; Luis Sanchez 001; J. Mason Earles (Comput. Electron. Agric., 2024)

Predicting crop yield lows through the highs via binned deep imbalanced regression: A case study on vineyards. - Hamid Kamangir; Brent S. Sams; Nick Dokoozlian; Luis Sanchez 001; J. Mason Earles (Int. J. Appl. Earth Obs. Geoinformation, 2025)