Mason Earles

According to our database, Mason Earles authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, J. Mason Earles

Comput. Electron. Agric., January, 2024

Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability.

Siddhartha Bhattacharya, Aarham Wasit, Mason Earles, Nitin Nitin, Luyao Ma, Jiyoon Yi

CoRR, 2024

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, J. Mason Earles

CoRR, 2024

The AIFS Institute: Building a better food system through AI.

Ilias Tagkopoulos, J. Mason Earles, Danielle G. Lemay, Xin Liu, Nitin Nitin, Aaron D. Smith, Tarek I. Zohdi, Stephen F. Brown

AI Mag., 2024

VisTA-SR: Improving the Accuracy and Resolution of Low-Cost Thermal Imaging Cameras for Agriculture.

Heesup Yun, Sassoum Lo, Christine H. Diepenbrock, Brian N. Bailey, J. Mason Earles

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.

Taeyeong Choi, Dario Guevara, Zifei Cheng, Grisha Bandodkar, Chonghan Wang, Brian N. Bailey, Mason Earles, Xin Liu

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.

Taeyeong Choi, Dario Guevara, Grisha Bandodkar, Zifei Cheng, Chonghan Wang, Brian N. Bailey, Mason Earles, Xin Liu

CoRR, 2023

An Open Source Simulation Toolbox for Annotation of Images and Point Clouds in Agricultural Scenarios.

Dario Guevara, Amogh Joshi, Pranav Raja, Elizabeth Forrestel, Brian N. Bailey, Mason Earles

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.

Alexander G. Olenskyj, Brent S. Sams, Zhenghao Fei, Vishal Singh, Pranav V. Raja, Gail M. Bornhorst, J. Mason Earles

Comput. Electron. Agric., July, 2022

Standardizing and Centralizing Datasets to Enable Efficient Training of Agricultural Deep Learning Models.

Amogh Joshi, Dario Guevara, Mason Earles

CoRR, 2022

A workflow for segmenting soil and plant X-ray CT images with deep learning in Googles Colaboratory.

Devin A. Rippner, Pranav Raja, Mason Earles, Alexander Buchko, Mina Momayyezi, Fiona Duong, Dilworth Parkinson, Elizabeth Forrestel, Ken Shackel, Andrew J. McElrone

CoRR, 2022

Special report: AI Institute for next generation food systems (AIFS).

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

Comput. Electron. Agric., 2022

2021

Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression.

Pranav Raja, Alex Olenskyj, Hamid Kamangir, Mason Earles

CoRR, 2021

Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection.

Zhenghao Fei, Alex Olenskyj, Brian N. Bailey, Mason Earles

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021