Mason Earles

14 papers Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
AgRowStitch: A High-fidelity Image Stitching Pipeline for Ground-based Agricultural Images.
CoRR
Isaac Kazuo Uyehara, Heesup Yun, Earl Ranario, Mason Earles
2025 J jnl
California Crop Yield Benchmark: Combining Satellite Image, Climate, Evapotranspiration, and Soil Data Layers for County-Level Yield Forecasting of Over 70 Crops.
CoRR
Hamid Kamangir, Mona Hajiesmaeeli, Mason Earles
2025 J jnl
Strawberry fruit yield forecasting using image-based time-series plant phenological stages sequences.
Comput. Electron. Agric.
Andrés Montes de Oca, Troy Magney, Stavros G. Vougioukas, Dario Racano, Alejandro Torrez-Orozco, Steven A. Fennimore, Frank N. Martin, Mason Earles
2025 — conf
iNatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7M Images of 2, 959 Crop and Weed Species.
CVPR Workshops
Naitik Jain, Amogh Joshi, Mason Earles
2025 J jnl
iNatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7M Images of 2,959 Crop and Weed Species.
CoRR
Naitik Jain, Amogh Joshi, Mason Earles
2024 — conf
DAVIS-Ag: A Synthetic Plant Dataset for Prototyping Domain-Inspired Active Vision in Agricultural Robots.
CASE
Taeyeong Choi, Dario Guevara, Zifei Cheng, Grisha Bandodkar, Chonghan Wang, Brian N. Bailey, Mason Earles, Xin Liu
2024 J jnl
Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability.
CoRR
Siddhartha Bhattacharya, Aarham Wasit, Mason Earles, Nitin Nitin, Luyao Ma, Jiyoon Yi
2023 — conf
An Open Source Simulation Toolbox for Annotation of Images and Point Clouds in Agricultural Scenarios.
ISVC (1)
Dario Guevara, Amogh Joshi, Pranav Raja, Elizabeth Forrestel, Brian N. Bailey, Mason Earles
2023 J jnl
DAVIS-Ag: A Synthetic Plant Dataset for Developing Domain-Inspired Active Vision in Agricultural Robots.
CoRR
Taeyeong Choi, Dario Guevara, Grisha Bandodkar, Zifei Cheng, Chonghan Wang, Brian N. Bailey, Mason Earles, Xin Liu
2022 J jnl
A workflow for segmenting soil and plant X-ray CT images with deep learning in Googles Colaboratory.
CoRR
Devin A. Rippner, Pranav Raja, Mason Earles, Alexander Buchko, Mina Momayyezi, Fiona Duong, Dilworth Parkinson, Elizabeth Forrestel, Ken Shackel, Andrew J. McElrone
2022 J jnl
Standardizing and Centralizing Datasets to Enable Efficient Training of Agricultural Deep Learning Models.
CoRR
Amogh Joshi, Dario Guevara, Mason Earles
2021 — conf
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection.
ICCVW
Zhenghao Fei, Alex Olenskyj, Brian N. Bailey, Mason Earles
2021 J jnl
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection.
CoRR
Zhenghao Fei, Alex Olenskyj, Brian N. Bailey, Mason Earles
2021 J jnl
Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression.
CoRR
Pranav Raja, Alex Olenskyj, Hamid Kamangir, Mason Earles