Method of and device for managing a group of dairy animals, as well as a computer program product therefor
A device and computer program product arranged to manage a group of dairy animals including individually recognizing each animal by an animal identification system, milking the animals to give actual milk yields for each animal, and feeding the animals with a predetermined individual ration, collecting data regarding the group of dairy animals, which data includes for each animal at least the actual milk yield and an amount of the individual ration consumed by the animal, wherein subsequent individual milk yields are estimated using a model on the basis of said data, and wherein, for one or more animals, at least one of the individual ration and the milking of individual dairy animals is adjusted in a regulatory step of the model using a precondition.
1. A device for managing a group of dairy animals, comprising an animal recognition device for recognizing individual dairy animals within the group, a computer and an automatic feeding device controlled by said computer, wherein the computer is arranged to perform a method of managing the group of dairy animals, wherein each animal can be recognized individually by an animal identification system, wherein the animals are milked and give an individually realized milk yield and wherein the animals are fed with an individual ration,
wherein data regarding the group of dairy animals are collected, which data comprise at least the individually realized milk yields and the consumed rations,
wherein subsequent individual milk yields are estimated using a model on the basis of said data, and
wherein, for one or more animals, at least one of the individual ration and the milking of individual dairy animals is adjusted in a regulatory step under application of a precondition;
wherein the precondition comprises that a predicted feed balance of an individual dairy animal is higher after the regulatory step than an actual feed balance prior to the regulatory step than an actual feed balance prior to the regulatory step, wherein the actual feed balance is equal to a return of an associated milk yield minus the costs of the associated actual predicted ration, and the predicted feed balance is equal to a return of an associated predicted milk yield minus the costs of the associated predicted ration.
2. The device according to claim 1 , comprising a feed weighing device for weighing the ration consumed or its components.
3. The device according to claim 1 , wherein the automatic feeding device comprises a plurality of feed containers, arranged to supply at least one of individually and computer-controlled, a quantity of the related kind of feed.
4. The device according to claim 1 , wherein furthermore a feed mixing device is provided.
5. The device according to claim, further comprising an automatic milking system.
6. The device according to claim 5 , wherein the automatic milking system is controllable by the computer and adjustable with respect to at least one of a milk vacuum, suction/rest ratio, milking program and milking interval.
7. The device according to claim 1 , wherein subsequent individual milk yields are estimated using a Bayesian time series analysis model on the basis of said data.
8. The device according to claim 1 , further comprising a computer program product, comprising a non-transient, computer-readable medium with computer program instructions embodied on said medium, which are capable of arranging the computer to control the device for managing the group of dairy animals.
9. A computer program product, comprising a non-transient, computer-readable medium with computer program instructions embodied on said medium, which are capable of arranging a computer to
control a device for managing a group of dairy animals, the device comprising an animal recognition device for recognizing individual dairy animals within the group, a computer and an automatic feeding device,
and to perform a method of managing the group of dairy animals, wherein each animal can be recognized individually by an animal identification system, wherein the animals are milked and give an individually realized milk yield and wherein the animals are fed with an individual ration,
wherein data regarding the group of dairy animals are collected, which data comprise at least the individually realized milk yields and the consumed rations,
wherein subsequent individual milk yields are estimated using a model on the basis of said data,
wherein, for one or more animals, at least one of the individual ration and the milking of individual dairy animals is adjusted in a regulatory step under application of a precondition; and
wherein the precondition comprises that a predicted feed balance of an individual dairy animal is higher after the regulatory step than an actual feed balance prior to the regulatory step than an actual feed balance prior to the regulatory step, wherein the actual feed balance is equal to a return of an associated milk yield minus the costs of the associated actual predicted ration, and the predicted feed balance is equal to a return of an associated predicted milk yield minus the costs of the associated predicted ration.