40 citations · 42 across the 3 of their papers we have counts for
3 papers
End-to-end deep learning for directly estimating grape yield from ground-based imagery
Alexander G. Olenskyj, Brent S. Sams, Zhenghao Fei +4
Yield estimation is a powerful tool in vineyard management, as it allows growers to fine-tune practices to optimize yield and quality. However, yield estimation is currently perfor…
Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression
Pranav Raja, Alex Olenskyj, Hamid Kamangir +1
Trait measurement is critical for the plant breeding and agricultural production pipeline. Typically, a suite of plant traits is measured using laborious manual measurements and th…
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection
Zhenghao Fei, Alex Olenskyj, Brian N. Bailey +1
Training real-world neural network models to achieve high performance and generalizability typically requires a substantial amount of labeled data, spanning a broad range of variat…