A system for tracing members of an animal population throughout a process including moving at least some of the members between a plurality of physically separate locations, the system comprising: a plurality of identification devices, each being attached to, and uniquely identifying, a respective member of the members; a plurality of identification device readers, each capable of being located at a respective physically separate location of the physically separate locations, and each capable of reading the identification devices to uniquely identify the respective member; a data repository comprising one or more records, each of the records (i) being associated with a respective member of the members, and (ii) including a unique animal identifier associated with the identification device attached to the respective member of the members; and a processing circuitry configured to perform a process for storing location change records indicative of location changes of the members during the process.

The present disclosure provides a method of improving health, performance, or a combination thereof for one or more livestock animals is provided. The present systems and methods predict an appropriate intervention for improving animal health, performance, or a combination thereof based on biomarker data.

An animal tag that contains first and second three-dimensional accelerometers and a processing unit, where the first accelerometer registers a first acceleration vector describing a spatial movement of a first position of the animal tag, and the second accelerometer registers a second acceleration vector describing a spatial movement of a second position of the animal tag, the second position separated from the first position by a distance, and the processing unit receives the first and second acceleration vectors and based thereon determines at least one behavior-related parameter for an animal carrying the animal tag in the form of inclination angle(s) (ψ, Φ, θ) of the animal tag relative to a reference frame external to the animal tag, and/or an elevation of the animal tag relative to a reference level external to the animal tag.

An animal emission monitoring device for positioning on cattle, the animal emission monitoring device comprising a snout member comprising a sensor unit for detecting the quantity of methane emissions and a positioning means for positioning the device on the head of an animal such that the snout member locates the sensor unit over the nostril of the animal.

A needle module for a drive-controlled handheld unit for repeatedly piercing human or animal skin, comprising a housing; a needle holder, which can be moved back and forth in the housing in a longitudinal direction of the housing; a piercing device on the needle holder, which can be moved, on account of the movement of the needle holder, between a proximal and a distal position, in which a piercing tip of the piercing device is arranged outside the housing; a coupling component, which is coupled to the needle holder in such a way that a driving movement provided with a repetition frequency by a drive device that can be coupled to the coupling component can be introduced onto the needle holder; and a damping component, which is arranged between the needle holder and the coupling component and is configured to damp a transfer of force therebetween.

A head covering for protecting the head and ears of a livestock animal such as cattle, goats and sheep is described. The head covering includes a main sleeve formed of stretchable fabric and defined by a neck opening, a snout opening, a pair of ear openings and a pair of eye openings. The main sleeve is stretchable radially around the head and the snout of the livestock animal. The head covering includes a pair of elongated ear covers formed of stretchable fabric. The ear covers are connected to the main sleeve adjacent to peripheral edges of the ear openings. The head covering is particularly useful in operations involving raising livestock in cold weather conditions, for prevention of frostbite on the ears.

The present disclosure relates to an arrangement (6) for controlling an entrance hole (2) of a beehive (1) of a beehive with bees, comprising a closure element (11) for at least partially closing the entrance hole (2). According to the present disclosure, the arrangement (6) comprises at least one identification unit (5) arrangeable or arranged on a queen bee (4), a reading unit (7) for reading out the at least one identification unit (5), wherein the reading unit (7) or at least one antenna unit (8) of the reading unit (7) is arrangeable or arranged at the entrance hole (2), and an actuation unit (12), in particular coupled with the reading unit (7), for actuating the closure element (11). Moreover, the present disclosure relates to a method for controlling an entrance hole (2) of a beehive (1).

An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.

A method for monitoring disease across agricultural areas of interest is provided comprising displaying at least one virtual zone corresponding to an agricultural geographic area of interest on a map in an application on a first device, and receiving an alert message when the first device is in proximity to a virtual zone. The at least one virtual zone is defined by at least one geofence. Each virtual zone is associated with a level of risk that indicates a likelihood of an outbreak of a disease detrimental to agriculture. Each virtual zone is configured to receive access notification information from each geofence when tracked devices enter an area defined by that geofence. The access information includes the level of risk associated with other virtual zones from which the tracked devices came. The alert message indicates if the first device should enter that virtual zone.

Methods to conserve a sensor's power include training a model to predict a condition of an animal with a training data set, wherein the training data set comprises known outcomes associated with behavioral data and health data for a plurality of animals; sensing, with a sensor worn by a monitored animal, behavioral data and health data of the monitored animal; inputting the behavioral data and health data of the monitored animal into the model; predicting a condition of the monitored animal with the model based on the inputted behavioral data and health data; and configuring a parameter of the sensor associated with the monitored animal based on the predicted condition.