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Journaux, L
Jago, J.G
Andersson, K
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Authors
Dela Rue, B.T
Kamphuis, C
Jago, J.G
Burke, C.R
Cointault, F
Marin, A
Journaux, L
Miteran, J
Martin, R
Trotter, M
Andersson, K
Welch, M
Chau, M
Frizzel, L
Schneider, D
Topics
Precision Dairy and Livestock Management
Modeling and Geo-statistics
Proximal Sensing in Precision Agriculture
Type
Poster
Oral
Year
2012
2010
2016
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Filter results3 paper(s) found.

1. Wheat Growth Stages Discrimination Using Generalized Fourier Descriptors In Pattern Recognition Context

... F. Cointault, A. Marin, L. Journaux, J. Miteran, R. Martin

2. Field Evaluation of Automated Estrus Detection Systems - Meeting Farmers' Expectation

Automated systems for oestrus detection are commonly marketed as a suitable, or in some cases, a higher performing alternative to visual observation. Farmers, particularly those with larger herds relying on less experienced staff, view the perceived benefits of automated systems as both economic and physical, with expectations of improved oestrus detection efficiency with lower labour input. There is little evidence-based information available on the field performance of these systems to... B.T. Dela rue, C. Kamphuis, J.G. Jago, C.R. Burke

3. Evaluating low-cost Lidar and Active Optical Sensors for pasture and forage biomass assessment

Accurate and reliable assessment of pasture or forage biomass remains one of the key challenges for grazing industries. Livestock managers require accurate estimates of the grassland biomass available over their farm to enable optimal stocking rate decisions. This paper reports on our investigations into the potential application of affordable Lidar (Light Detection and Ranging) systems and Active Optical (reflectance) Sensors (AOS) to estimate pasture biomass. We evaluated the calibration accuracy... M. Trotter, K. Andersson, M. Welch, M. Chau, L. Frizzel, D. Schneider