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Wang, Y

Wienhold, B

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Authors

Shaver, T

Schmer, M

Irmak, S

Van Donk, S

Wienhold, B

Jin, V

Bereuter, A

Francis, D

Rudnick, D

Ward, N

Hendrickson, L

Ferguson, R.B

Adamchuk, V.I

Wang, Y

Lu, Y

Morris, D

Benjamin, M

Lavagnino, M

McIntyre, J

Topics

Spatial Variability in Crop, Soil and Natural Resources

Farm Animals Health and Welfare Monitoring

Type

Poster

Year

2012

2024

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Filter results2 paper(s) found.
1. Landscape Influences on Soil Nitrogen Supply and Water Holding Capacity for Irrigated Corn ... T. Shaver, M. Schmer, S. Irmak, S. Van donk, B. Wienhold, V. Jin, A. Bereuter, D. Francis, D. Rudnick, N. Ward, L. Hendrickson, R. Ferguson, V.I. Adamchuk Download paper
2. 3D Computer Vision with a Spatial-temporal Neural Network for Lameness Detection of Sows The lameness of sows is one of the biggest concerns for swine producers, which can lead to considerable economic losses due to reduced productivity and welfare. There is a real need for early detection of lameness in sows to enable timely intervention and minimize loss. Currently, lame detection relies on visual observation and locomotion scoring of sows, which is subjective, labor-intensive, and difficult to conduct for large groups of animals within a short time. This study presents 3D computer... Y. Wang, Y. Lu, D. Morris, M. Benjamin, M. Lavagnino, J. Mcintyre

Filter results2 paper(s) found.

1. Landscape Influences on Soil Nitrogen Supply and Water Holding Capacity for Irrigated Corn

... T. Shaver, M. Schmer, S. Irmak, S. Van donk, B. Wienhold, V. Jin, A. Bereuter, D. Francis, D. Rudnick, N. Ward, L. Hendrickson, R. Ferguson, V.I. Adamchuk

Download paper

2. 3D Computer Vision with a Spatial-temporal Neural Network for Lameness Detection of Sows

The lameness of sows is one of the biggest concerns for swine producers, which can lead to considerable economic losses due to reduced productivity and welfare. There is a real need for early detection of lameness in sows to enable timely intervention and minimize loss. Currently, lame detection relies on visual observation and locomotion scoring of sows, which is subjective, labor-intensive, and difficult to conduct for large groups of animals within a short time. This study presents 3D computer... Y. Wang, Y. Lu, D. Morris, M. Benjamin, M. Lavagnino, J. Mcintyre