J. Mason Earles

17 papers Journal 14Unranked 3

Year	Rank	Type	Title / 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