Abstract: A system and method of buffered freepointer management to handle burst traffic to fixed size structures in an external memory system. A circular queue stores implicitly linked free memory locations, along with an explicitly linked list in memory. The queue is updated at the head with newly released locations, and new locations from memory are added at the tail. When a freed location in the queue is reused, external memory need not be updated. When the queue is full, the system attempts to release some of the freepointers such as by dropping them if they are already linked, updating the linked list in memory only if those dropped are not already linked. Latency can be further reduced by loading new locations from memory when the queue is nearly empty, rather than waiting for empty condition, and by writing unlinked locations to memory when the queue is nearly full.

Abstract: A method for monitoring oestrus of a cattle animal, for example a cow. The method includes: a) collecting activity data of the animal, b) computing a current activity level based on the activity data, c) deciding whether to generate an oestrus attention signal by comparing at least one current activity level to a corresponding baseline activity level. The computing b) further includes b1) detecting travelling movements of the animal and b2) correcting the baseline activity level for detected travelling movements.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method and device are provided for generating an attention indication for a dairy animal that is kept in an environment with a freely accessible robotic milking system, including measuring a plurality of visit intervals, milking intervals, respectively of said dairy animal, determining a value of a statistical parameter regarding the measured plurality of intervals from the measured intervals, generating the attention indication, in particular a mastitis alarm signal, if the value exceeds a predetermined threshold value. Valuable information can be derived from the spread of, or change in, the values.

Abstract: 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.

Abstract: The invention relates to a method to monitor growth of an animal, in particular a calf, the method including recording, by a three-dimensional camera system, at least one three-dimensional image of the animal, and processing, by a processing device, the at least one image of the animal, wherein processing of the image comprises the steps of: forming a three-dimensional surface representation of a surface part of the animal from the at least one image, determining a size parameter representative for the size of the animal on the basis of the surface representation, and determining a volume parameter representative for the volume of the animal, and monitoring the volume parameter and size parameter or a combination thereof to monitor growth of the animal.

Abstract: The present disclosure is directed to a monitoring system for automatically inferring, without human modelling input or information regarding actual physical network connectivity, a service architecture of a widely distributed service operated by an Infrastructure-as-a-Service (IaaS) tenant but deployed on a set of virtual resources controlled by an independent IaaS provider. The monitoring system can collect infrastructure metadata and/or system-level metric data characterizing the set of virtual resources from the IaaS provider, and automatically infer from the metadata and/or metric data how the virtual resources should be organized into groups, clusters and hierarchies. The monitoring system can automatically infer this service architecture using naming conventions, security rules, software types, deployment patterns, and other information gleaned from the metadata and/or metric data. The monitoring system can then run analytics based on this inferred service architecture to report on service operation.

Abstract: A method for estimating a greenhouse gas emission from a ruminant in a loose housing environment, and in a predetermined time period from T0 to Tdesired, the method including: determining a model emission rate function EM(t) for the ruminant determining the moments of eating feed by the ruminant, at least during the predetermined time period, as a series of points in time {T1, T2, T3, . . . , Tn} constructing the estimated real emission rate function ER(t) on the basis of the model emission rate function and the moments of eating feed, and integrating ER(t) from T0 to Tdesired. Also provided is a greenhouse gas emission estimation device, arranged to perform this method. In the device and method, use is made of the insight that knowing the eating moments can fine-tune calculations for establishing greenhouse gas emissions from the animals.

Abstract: A method for monitoring oestrus of a cattle animal, for example a cow. The method includes: a) collecting activity data of the animal, b) computing a current activity level based on the activity data, c) deciding whether to generate an oestrus attention signal by comparing at least one current activity level to a corresponding baseline activity level. The computing b) further includes b1) detecting travelling movements of the animal and b2) correcting the baseline activity level for detected travelling movements.

Abstract: A method and a device for determining the emission of greenhouse gas, in particular methane, by ruminants, in particular dairy animals includes counting eructations (“belches”) of the animal. This is done by measuring a signal linked to the eructations, for example sound with a microphone. Given that the methane content of an eructation of this type is more or less constant, the total methane emission can be derived therefrom by counting.

Abstract: A method and device are provided for generating an attention indication for a dairy animal that is kept in an environment with a freely accessible robotic milking system, including measuring a plurality of visit intervals, milking intervals, respectively of said dairy animal, determining a value of a statistical parameter regarding the measured plurality of intervals from the measured intervals, generating the attention indication, in particular a mastitis alarm signal, if the value exceeds a predetermined threshold value. Valuable information can be derived from the spread of, or change in, the values.

Abstract: A method and a device for determining the emission of greenhouse gas, in particular methane, by ruminants, in particular dairy animals includes counting eructations (“belches”) of the animal. This is done by measuring a signal linked to the eructations, for example sound with a microphone. Given that the methane content of an eructation of this type is more or less constant, the total methane emission can be derived therefrom by counting.

Abstract: The invention provides a method and device for generating an attention indication for a dairy animal that is kept in an environment with a freely accessible robotic milking system, including measuring a plurality of visit intervals, milking intervals, respectively of said dairy animal, determining a value of a statistical parameter regarding the measured plurality of intervals from the measured intervals, generating the attention indication, in particular a mastitis alarm signal, if the value exceeds a predetermined threshold value. Precious information can be derived from the spread of or change in the values.

Abstract: The present disclosure is directed to a monitoring system for automatically inferring, without human modelling input or information regarding actual physical network connectivity, a service architecture of a widely distributed service operated by an Infrastructure-as-a-Service (IaaS) tenant but deployed on a set of virtual resources controlled by an independent IaaS provider. The monitoring system can collect infrastructure metadata and/or system-level metric data characterizing the set of virtual resources from the IaaS provider, and automatically infer from the metadata and/or metric data how the virtual resources should be organized into groups, clusters and hierarchies. The monitoring system can automatically infer this service architecture using naming conventions, security rules, software types, deployment patterns, and other information gleaned from the metadata and/or metric data. The monitoring system can then run analytics based on this inferred service architecture to report on service operation.

Abstract: The present disclosure is directed to a system for monitoring and analyzing operation of a widely distributed service operated by an Infrastructure-as-a-Service (IaaS) tenant but deployed on a set of virtual resources controlled by an independent IaaS provider. The set of virtual resources provided to the IaaS tenant by the IaaS provider is selected by the IaaS provider and can change rapidly in both size and composition (i.e., the virtual resources are “ephemeral”). The monitoring system can integrate system-level metrics collected directly from virtual resources with infrastructure metadata characterizing the virtual resources collected from the IaaS provider to report on operation of the virtual resources. The infrastructure metadata can contain a resource type, a resource role, an operational status, an outage history, or an expected termination schedule. By integrating different sources of data, the monitoring system can avoid inaccurate analysis.

Abstract: In one embodiment, two or more links, coupled to a first service provider (SP) that charges a price for utilization of services according to a first pricing structure, are combined to form a single virtual combined link. Each of the two or more links of the virtual combined link and one or more other links, coupled to a second SP that charges a price for utilization of services according to a second pricing structure, are monitored to obtain link data. The link data for the two of more links of the virtual combined link is merged to form link data for the virtual combined link. Data distribution among the virtual combined link and the one or more other links is optimized to distribute data among the virtual combined link and the one or more other links in a manner that minimizes cost.

Abstract: The invention provides a device and method for milking a dairy animal, comprising at least two sensors for measuring milking parameters. Usually, an alarm is generated if a specific number of parameters each are outside a given range. According to the invention, now an alarm is also generated if said specific number of exceedings is not achieved, but if another, and usually greater, number of parameters each are within a larger, more flexible, range. As a result thereof, the actual alarm parameters with ‘hard’ limits can be selected, in order that false-positive messages are prevented to a considerable extent. In the grey area of almost exceeding, an alarm can still be generated if sufficient parameters are in dubious areas.

Abstract: 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.