Lely Patent N.v.

Xiangyu Song

Patrick Philip Jacob Van Der Tol

Adolf Jan Van Der Kamp

Serge Louis Loosveld

Pieter Neelus Kool

Ester De Groot

A system and method which functions to automatically monitor a ruminant animal. The system includes a 3D camera system that obtains images from a region of interest. An image processor determines the surface curvature in the region of interest, as a function of time. Based on the frequency with which this function attains local maxima, a health indication for the animal is generated.

Ruminant animal monitoring system

There is provided a system and method for automatically monitoring a ruminant animal. The system comprises a 3D camera system that obtains images from a region of interest, in particular the paralumbar fossa. An image processor determines the surface curvature in the region of interest, as a function of time. Based on the frequency with which this function attains local maxima, a health indication for the animal is generated.

A system and method for automatically monitoring a ruminant animal. The system includes a 3D camera system that obtains images from a region of interest, in particular the paralumbar fossa. An image processor determines the surface curvature in the region of interest, as a function of time. Based on the frequency with which this function attains local maxima, a health indication for the animal is generated.

The invention relates to a method to automatically predict a calving moment of a cow, comprising: recording, by a three-dimensional camera system, at least one three-dimensional image of the cow, processing, by a processing device, the at least one image of the cow, wherein processing of the image comprises determining a parameter indicative of the calving moment, and predicting a calving moment of the cow on the basis of the parameter.

Method and device to automatically detect calving

Monitoring activity of an animal in a system for housing freely moving animals including a plurality of animal ID stations, includes the steps of a) recording a first visit of said animal at a first of said animal ID stations, b) recording a subsequent second visit of said animal at a second of said animal ID stations, and c) determining a distance covered by said animal as the distance between said first animal ID station at said first visit and said second animal ID station at said second visit. With such simple means, parts of which are already present in e.g. most robot dairy stables, important information about activity of animals can easily be gathered.

System and method for automatically determining animal position and animal activity

A method to determine a body condition score of an animal including: providing a three-dimensional camera system configured and arranged to record at least one three-dimensional image of the animal, and an image processing device to process the image; recording at least one three-dimensional image of the animal; processing the image. The processing the image includes: forming a three-dimensional surface representation of a part of the animal from the three-dimensional image recorded by the three-dimensional camera system; determining, in the image, reference points of the animal, at least including hook bone points and pin bone points of the animal; selecting a surface part of the animal representative for a body condition of the animal using the reference points; analyzing a first parameter representative for a body condition of the animal of the selected surface part; and determining the body condition score based on the first parameter.

Arrangement and method to determine a body condition score of an animal

A method determining a position of an animal part in an animal space in at least one direction, including: obtaining a two-dimensional image containing depth information; preprocessing the image according to first and second preprocessing modes, to provide respective first and second preprocessed images; comparing the first preprocessed image and the second preprocessed image to obtain at least one image difference; if the at least one image difference is below or equal to a respective predetermined threshold, processing the first preprocessed image according to a first position determining mode, and if the at least one image difference is above the predetermined threshold, processing the second preprocessed image according to a second position determining mode, to provide the position of the animal part. If a fast but not very accurate processing mode, and a slower but more accurate mode, are available, the method can suitably select one of these modes.

Method of and animal treatment system for performing an animal related action on an animal part in an animal space

A system and method for managing an agricultural device, including connecting the agricultural device to a network, collecting operational data relating to the agricultural device, granting an access right in respect of the collected operational data to an entity connected to the network, receiving data from the entity in response to the access right, and managing the agricultural device on the basis of the collected operational data and the data from the entity. The method may be implemented for managing multiple agricultural devices, and may be implemented in a computer readable medium. In one embodiment, the operational data relates to clinical mastitis detection.

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Rotterdam, Netherlands

Xiangyu Song