J. Mason Earles

17 papers Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Vision Language Model for Generating Procedural Plant Architecture Representations from Simulated Images.
CoRR
Heesup Yun, Isaac Kazuo Uyehara, Ioannis Droutsas, Earl Ranario, Christine H. Diepenbrock, Brian N. Bailey, J. Mason Earles
2026 J jnl
Using Vision Language Foundation Models to Generate Plant Simulation Configurations via In-Context Learning.
CoRR
Heesup Yun, Isaac Kazuo Uyehara, Earl Ranario, Lars Lundqvist, Christine H. Diepenbrock, Brian N. Bailey, J. Mason Earles
2025 — conf
AGILE: A Diffusion-Based Attention-Guided Image and Label Translation for Efficient Cross-Domain Plant Trait Identification.
CVPR Workshops
Earl Ranario, Lars Lundqvist, Heesup Yun, Brian N. Bailey, J. Mason Earles
2025 J jnl
AGILE: A Diffusion-Based Attention-Guided Image and Label Translation for Efficient Cross-Domain Plant Trait Identification.
CoRR
Earl Ranario, Lars Lundqvist, Heesup Yun, Brian N. Bailey, J. Mason Earles
2025 J jnl
Are vision-language models ready to zero-shot replace supervised classification models in agriculture?
CoRR
Earl Ranario, J. Mason Earles
2025 — conf
California Crop Yield Benchmark: Combining Satellite Image, Climate, Evapotranspiration, and Soil Data Layers for County-Level Yield Forecasting of Over 70 Crops.
CVPR Workshops
Hamid Kamangir, Mona Hajiesmaeeli, J. Mason Earles
2025 J jnl
Enabling Plant Phenotyping in Weedy Environments using Multi-Modal Imagery via Synthetic and Generated Training Data.
CoRR
Earl Ranario, Ismael Mayanja, Heesup Yun, Brian N. Bailey, J. Mason Earles
2025 J jnl
Enhancing AI microscopy for foodborne bacterial classification using adversarial domain adaptation to address optical and biological variability.
Frontiers Artif. Intell.
Siddhartha Bhattacharya, Aarham Wasit, J. Mason Earles, Nitin Nitin, Jiyoon Yi
2025 J jnl
Predicting crop yield lows through the highs via binned deep imbalanced regression: A case study on vineyards.
Int. J. Appl. Earth Obs. Geoinformation
Hamid Kamangir, Brent S. Sams, Nick Dokoozlian, Luis Sanchez, J. Mason Earles
2024 J jnl
CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers.
CoRR
Hamid Kamangir, Brent S. Sams, Nick Dokoozlian, Luis Sanchez, J. Mason Earles
2024 J jnl
Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards.
Comput. Electron. Agric.
Hamid Kamangir, Brent S. Sams, Nick Dokoozlian, Luis Sanchez, J. Mason Earles
2024 J jnl
The AIFS Institute: Building a better food system through AI.
AI Mag.
Ilias Tagkopoulos, J. Mason Earles, Danielle G. Lemay, Xin Liu, Nitin Nitin, Aaron D. Smith, Tarek I. Zohdi, Stephen F. Brown
2024 — conf
VisTA-SR: Improving the Accuracy and Resolution of Low-Cost Thermal Imaging Cameras for Agriculture.
CVPR Workshops
Heesup Yun, Sassoum Lo, Christine H. Diepenbrock, Brian N. Bailey, J. Mason Earles
2024 J jnl
VisTA-SR: Improving the Accuracy and Resolution of Low-Cost Thermal Imaging Cameras for Agriculture.
CoRR
Heesup Yun, Sassoum Lo, Christine H. Diepenbrock, Brian N. Bailey, J. Mason Earles
2022 J jnl
End-to-end deep learning for directly estimating grape yield from ground-based imagery.
Comput. Electron. Agric.
Alexander G. Olenskyj, Brent S. Sams, Zhenghao Fei, Vishal Singh, Pranav V. Raja, Gail M. Bornhorst, J. Mason Earles
2022 J jnl
End-to-end deep learning for directly estimating grape yield from ground-based imagery.
CoRR
Alexander G. Olenskyj, Brent S. Sams, Zhenghao Fei, Vishal Singh, Pranav V. Raja, Gail M. Bornhorst, J. Mason Earles
2022 J jnl
Special report: AI Institute for next generation food systems (AIFS).
Comput. Electron. Agric.
Ilias Tagkopoulos, Stephen F. Brown, Xin Liu, Qing Zhao, Tarek I. Zohdi, J. Mason Earles, Nitin Nitin, Daniel E. Runcie, Danielle G. Lemay, Aaron D. Smith, Pamela C. Ronald, Hao Feng, Gabriel David Youtsey