Proceedings :: International Society of Precision Agriculture

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Miteran, J

Jafari, A

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Authors

Cointault, F

Marin, A

Journaux, L

Miteran, J

Martin, R

Jafari, A

Karimi, F

Werner, A

Ghoreishi, S

Kargar, S

Topics

Modeling and Geo-statistics

Precision Dairy and Livestock Management

Type

Oral

Year

2010

2018

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Filter results2 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 Download paper
2. Feature Extraction from Radial Descriptor Lines for Body Condition Scoring of Cows Body condition score (BCS) is considered as one of the most important indices for managing dairy cows, which is used to evaluate fat cover and changes in body condition. Dairy farmers should be aware of their cows BCS to be able to identify the patient cows on time and manage diets when needed. In this study, we have introduced a new index which uses Radial Descriptor Lines (RDL) for BC scoring. Based on the fact that the fatter the cow the smoother the back surface, we hypothesised that the changes... A. Jafari, F. Karimi, A. Werner, S. Ghoreishi, S. Kargar Download paper

Filter results2 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

Download paper

2. Feature Extraction from Radial Descriptor Lines for Body Condition Scoring of Cows

Body condition score (BCS) is considered as one of the most important indices for managing dairy cows, which is used to evaluate fat cover and changes in body condition. Dairy farmers should be aware of their cows BCS to be able to identify the patient cows on time and manage diets when needed. In this study, we have introduced a new index which uses Radial Descriptor Lines (RDL) for BC scoring. Based on the fact that the fatter the cow the smoother the back surface, we hypothesised that the changes... A. Jafari, F. Karimi, A. Werner, S. Ghoreishi, S. Kargar

Download paper