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Mason Earles
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- affiliation: University of California, Davis, CA, USA
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2020 – today
- 2024
- [j4]Ilias Tagkopoulos, J. Mason Earles, Danielle G. Lemay, Xin Liu, Nitin Nitin, Aaron D. Smith, Tarek I. Zohdi, Stephen F. Brown:
The AIFS Institute: Building a better food system through AI. AI Mag. 45(1): 89-93 (2024) - [j3]Hamid Kamangir, Brent S. Sams, Nick Dokoozlian, Luis Sanchez, J. Mason Earles:
Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards. Comput. Electron. Agric. 216: 108439 (2024) - [c4]Taeyeong Choi, Dario Guevara, Zifei Cheng, Grisha Bandodkar, Chonghan Wang, Brian N. Bailey, Mason Earles, Xin Liu:
DAVIS-Ag: A Synthetic Plant Dataset for Prototyping Domain-Inspired Active Vision in Agricultural Robots. CASE 2024: 2524-2530 - [c3]Heesup Yun, Sassoum Lo, Christine H. Diepenbrock, Brian N. Bailey, J. Mason Earles:
VisTA-SR: Improving the Accuracy and Resolution of Low-Cost Thermal Imaging Cameras for Agriculture. CVPR Workshops 2024: 5470-5479 - [i7]Heesup Yun, Sassoum Lo, Christine H. Diepenbrock, Brian N. Bailey, J. Mason Earles:
VisTA-SR: Improving the Accuracy and Resolution of Low-Cost Thermal Imaging Cameras for Agriculture. CoRR abs/2405.19413 (2024) - 2023
- [c2]Dario Guevara, Amogh Joshi, Pranav Raja, Elizabeth Forrestel, Brian N. Bailey, Mason Earles:
An Open Source Simulation Toolbox for Annotation of Images and Point Clouds in Agricultural Scenarios. ISVC (1) 2023: 557-570 - [i6]Taeyeong Choi, Dario Guevara, Grisha Bandodkar, Zifei Cheng, Chonghan Wang, Brian N. Bailey, Mason Earles, Xin Liu:
DAVIS-Ag: A Synthetic Plant Dataset for Developing Domain-Inspired Active Vision in Agricultural Robots. CoRR abs/2303.05764 (2023) - 2022
- [j2]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:
Special report: AI Institute for next generation food systems (AIFS). Comput. Electron. Agric. 196: 106819 (2022) - [j1]Alexander G. Olenskyj, Brent S. Sams, Zhenghao Fei, Vishal Singh, Pranav V. Raja, Gail M. Bornhorst, J. Mason Earles:
End-to-end deep learning for directly estimating grape yield from ground-based imagery. Comput. Electron. Agric. 198: 107081 (2022) - [i5]Devin A. Rippner, Pranav Raja, Mason Earles, Alexander Buchko, Mina Momayyezi, Fiona Duong, Dilworth Parkinson, Elizabeth Forrestel, Ken Shackel, Andrew J. McElrone:
A workflow for segmenting soil and plant X-ray CT images with deep learning in Googles Colaboratory. CoRR abs/2203.09674 (2022) - [i4]Alexander G. Olenskyj, Brent S. Sams, Zhenghao Fei, Vishal Singh, Pranav V. Raja, Gail M. Bornhorst, J. Mason Earles:
End-to-end deep learning for directly estimating grape yield from ground-based imagery. CoRR abs/2208.02394 (2022) - [i3]Amogh Joshi, Dario Guevara, Mason Earles:
Standardizing and Centralizing Datasets to Enable Efficient Training of Agricultural Deep Learning Models. CoRR abs/2208.02707 (2022) - 2021
- [c1]Zhenghao Fei, Alex Olenskyj, Brian N. Bailey, Mason Earles:
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection. ICCVW 2021: 1269-1277 - [i2]Zhenghao Fei, Alex Olenskyj, Brian N. Bailey, Mason Earles:
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection. CoRR abs/2108.13344 (2021) - [i1]Pranav Raja, Alex Olenskyj, Hamid Kamangir, Mason Earles:
Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression. CoRR abs/2112.03205 (2021)
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