Agriculture - Livestock

USE CASES

POULTRY USE CASE

POULTRY USE CASE

The main idea was to extend the functionality of several advanced micro-electronics devices and integrate them into a smart cloud-based system to create audio and video based stress detection of chickens on farms, facilitating the improvement of the breeding process. The project experimented with different deployment constellations, edge data processing, cloud-based machine learning and data analytics algorithms to detect stress patterns enabling early prevention of health hazards.

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    DAIRY USE CASE

    DAIRY USE CASE

    Modern dairy cows are bred and fed for high productivity. As a result of this, the udders are a highly productive bioreactor. Along with milk, cow’s highly active metabolism produces a lot of heat which must be transferred away from the cow. As a result of the need for higher productivity, the awareness of dairy farmers to heat susceptibility of cows has increased. Optimum temperatures are in the range below 18°C. With temperatures above 24°C, significant reductions in herd productivity can be anticipated.

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      SWINE USE CASE

      SWINE USE CASE

      The climate in a swine pen has a decisive influence on the ability to utilize the genetic potential of your mast or breeding pigs. High relative humidity, a breeze of cold air in the building, or a cold main body will negatively influence the health of the pigs. High temperatures in the building or in the feedlot will decrease the efficiency and conversion rate of the fattening pigs. These new instruments for continuous recording of all relevant data inside the buildings and holding parameters in the feedlot will help the farmer to stay in touch with his animals remotely 24/7. Automatic alerts will be sent in real-time if a defect of the heating or cooling systems happens.

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        OTHER USES

        CHICKEN WEIGHT GAIN

        CHICKEN WEIGHT GAIN

        AI-supported cameras in the poultry breeding houses can help you monitor the correct development of chickens. With the real-time data, you have access to information on average weight gain per day, and whenever a shift in growth occurs, it is recognized and you can act upon it in the right way.

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