Need:

Automatic estimation of Body Condition Score (BCS)

Aim:

  • Monitoring of animals’ condition
  • More regular and objective data

Description:

A tool with 6 3D cameras can take a photo of the shape of part of the animal or the whole animal. The prototype is currently in the research phase, and algorithms are being created to estimate the weight and NEC of ewes. Other systems exist in other sectors.

How to implement:

The prototype is installed in a restraint corridor. The flow is managed by two gates, one at the entrance and one at the exit. The animal is identified as it passes through and an image is taken (automatically or by the operator). Images are taken quickly (a few tenths of a second). The images are then sorted automatically and an algorithm estimates the weight of the ewes. The estimation of Body Condition Score using 3D imagery is not yet robust and reliable.

Expected benefits:

  • Better animal monitoring
  • Less stress for the animals and the farmer

Prerequisites and/or limits:

  • Depends on the configuration of the restraint park
  • Still in the test / prototype phase

Cost / Benefit Analysis

Country:

France

Production system (Dairy or/and meat sheep/goat):

Meat sheep

Category of Animal (ewe, goat, replacement, lamb, kid):

Ewes

Source of information: https://idele.fr/Otop-3D/
Attachment/links:

http://idele.fr/reseaux-et-partenariats/otop3d/publication/idelesolr/recommends/otop-3d-les-dispositifs-dacquisitions-sont-prets.html

ADOPTION PREDICTION:

What is the expected uptake of this technology and when might peak uptake happen?

NORWAY – ADOPT Results 3D imagin (2)

Tjotta_meat_sheep_Norwegian_digifarm
NIBIO Tjøtta – Digifarm Norway
UNISS, Universty of Sassari Department of Agriculture
Le CHIIRPO - Sm@RT Platform
CIIRPO Le Mourier – Digifarm France
Storsteigen Agricultural College – Digifarm Norway
Estonia Innovative Farm: Murese OÜ
Estonia Innovative Farm: Wasala OÜ
Estonia Innovative Farm: Rehekivi OÜ
Norway Innovative Farm: Elgvasslien, Folldal