40 citations · 55 across the 7 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.CV2022★ 40 cited
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…
eess.IV2022
A workflow for segmenting soil and plant X-ray CT images with deep learning in Googles Colaboratory
Devin A. Rippner, Pranav Raja, J. Mason Earles +8
X-ray micro-computed tomography (X-ray microCT) has enabled the characterization of the properties and processes that take place in plants and soils at the micron scale. Despite th…