Nick Dokoozlian
Orcid: 0000-0002-1525-1967
According to our database1,
Nick Dokoozlian
authored at least 10 papers
between 2018 and 2025.
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Bibliography
2025
Predicting crop yield lows through the highs via binned deep imbalanced regression: A case study on vineyards.
Int. J. Appl. Earth Obs. Geoinformation, 2025
2024
Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards.
Comput. Electron. Agric., January, 2024
CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers.
CoRR, 2024
2023
ET Partitioning Assessment Using the TSEB Model and sUAS Information across California Central Valley Vineyards.
Remote. Sens., February, 2023
2021
Assessing Daily Evapotranspiration Methodologies from One-Time-of-Day sUAS and EC Information in the GRAPEX Project.
Remote. Sens., 2021
2020
Influence of Model Grid Size on the Estimation of Surface Fluxes Using the Two Source Energy Balance Model and sUAS Imagery in Vineyards.
Remote. Sens., 2020
Remote. Sens., 2020
Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models.
Remote. Sens., 2020
Modeling Early Indicators of Grapevine Physiology Using Hyperspectral Imaging and Partial Least Squares Regression (PLSR).
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2018
IEEE Internet Things J., 2018