PILOT CLUSTER FOUR LIVESTOCK
PILOT SUmmary
Animal Health, High Quality & Optimal Management of Animal Products.
Description:
This cluster will focus on supporting farmers for livestock animal health and high-quality production of animal products using farmers’ dashboards with AI-based prediction and decision support for animal health and animal products. Three pilots are milk/cow oriented with one focusing on AI Machine learning for predictive milk production and dashboard including data flow for invoicing, settlement, accounting, bank and insurance. Two pilots focus on milk quality and animal welfare tracking through health and welfare recording protocols which will be applied using various sensor technologies and digitalised records. The fourth pilot is similarly focusing on chicken health and optimal production.
Partners involved:
Agricultural DataFlow (NO), Mimiro (NO), SINTEF (NO), TFoU (NO), Coldiretti (IT), Engineering (IT), (Maccarese (IT), Latte Santo (IT), Teagasc (IR), Tyndall (UK), Zoetis (UK), TSSG (IR), intrasoft (BE), DNET (SE).
Pilot projects run under pilot cluster four:
Pilot 4.1 - Dairy Farmers’ Dashboard for the Entire Milk and Meat Production Value Chain
Dairy Farmers’ Dashboard for the Entire Milk and Meat Production Value Chain
Farmers have to handle an increasing number of digital systems and solutions that affect their daily work as well as production and investment decisions. Today’s digital solutions do not communicate or integrate well enough together and are not largely based on the needs of the farmer.
Pilot 4.2 - Consumer Awareness: Milk Quality and Animal Welfare Tracking Management
Consumer Awareness: Milk Quality and Animal Welfare Tracking Management
Many farmers already monitor their animals by using different smart devices which collect data in a scattered way. However, they often miss an overall vision of the most important animal welfare and milk yield indicators. In addition, processing companies…
Pilot 4.3 - Proactive Milk Quality Control
Proactive Milk Quality Control
Traditional farming involved management systems based on direct observation of animals and intuitive decision making by the farmer. Larger animal numbers and reduced available time of the farmer have necessitated changes, potentially resulting in less available time to observe and detect welfare and health issues of individual animals.
Pilot 4.4 - Optimal Chicken Farm Management
Optimal Chicken Farm Management
Growing food demand has increased the need for animal protein. This need currently exceeds the demand by 1.7% per year, resulting in global annual poultry production reaching over 103.5 million tons (Foreign Agricultural Service/USDA, Livestock and Poultry: World Markets and Trade). To meet growing demands…
