Mason Earles
Orcid: 0000-0001-7611-1696Affiliations:
- University of California, Davis, CA, USA
According to our database1,
Mason Earles authored at least 27 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Does Your VFM Speak Plant? The Botanical Grammar of Vision Foundation Models for Object Detection.
CoRR, April, 2026
A Vision Language Model for Generating Procedural Plant Architecture Representations from Simulated Images.
CoRR, March, 2026
Using Vision Language Foundation Models to Generate Plant Simulation Configurations via In-Context Learning.
CoRR, March, 2026
2025
Are vision-language models ready to zero-shot replace supervised classification models in agriculture?
CoRR, December, 2025
Enabling Plant Phenotyping in Weedy Environments using Multi-Modal Imagery via Synthetic and Generated Training Data.
CoRR, September, 2025
AgRowStitch: A High-fidelity Image Stitching Pipeline for Ground-based Agricultural Images.
CoRR, March, 2025
iNatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7M Images of 2,959 Crop and Weed Species.
CoRR, March, 2025
Enhancing AI microscopy for foodborne bacterial classification using adversarial domain adaptation to address optical and biological variability.
Frontiers Artif. Intell., 2025
Strawberry fruit yield forecasting using image-based time-series plant phenological stages sequences.
Comput. Electron. Agric., 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
AGILE: A Diffusion-Based Attention-Guided Image and Label Translation for Efficient Cross-Domain Plant Trait Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
California Crop Yield Benchmark: Combining Satellite Image, Climate, Evapotranspiration, and Soil Data Layers for County-Level Yield Forecasting of Over 70 Crops.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
iNatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7M Images of 2, 959 Crop and Weed Species.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
2024
Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards.
Comput. Electron. Agric., January, 2024
Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability.
CoRR, 2024
CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers.
CoRR, 2024
VisTA-SR: Improving the Accuracy and Resolution of Low-Cost Thermal Imaging Cameras for Agriculture.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
DAVIS-Ag: A Synthetic Plant Dataset for Prototyping Domain-Inspired Active Vision in Agricultural Robots.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
2023
DAVIS-Ag: A Synthetic Plant Dataset for Developing Domain-Inspired Active Vision in Agricultural Robots.
CoRR, 2023
An Open Source Simulation Toolbox for Annotation of Images and Point Clouds in Agricultural Scenarios.
Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023
2022
End-to-end deep learning for directly estimating grape yield from ground-based imagery.
Comput. Electron. Agric., July, 2022
Standardizing and Centralizing Datasets to Enable Efficient Training of Agricultural Deep Learning Models.
CoRR, 2022
A workflow for segmenting soil and plant X-ray CT images with deep learning in Googles Colaboratory.
CoRR, 2022
Comput. Electron. Agric., 2022
2021
Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression.
CoRR, 2021
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021