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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
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
Special report: AI Institute for next generation food systems (AIFS). Comput. Electron. Agric. 196: 106819 (2022) - [j1]Alexander G. Olenskyj, Brent S. Sams
End-to-end deep learning for directly estimating grape yield from ground-based imagery. Comput. Electron. Agric. 198: 107081 (2022) - [i5]Devin A. Rippner
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
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)
Coauthor Index
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