A pet monitoring device (101) for monitoring a sub-dermal RFID microchip (103), the pet monitoring device comprising: a wearable item (1) bearing 1 to 5 turns of electrical conductor (7) wound circumferentially to form a wearable item resonator; and an RFID reader (9) attachable and detachable to said wearable item, wherein said RFID reader comprises: a driving circuit (1100) comprising a primary inductance (Lp) inductively coupled to said wearable item when said RFID reader is attached to said wearable item; a secondary inductance (Ls) and resonance capacitor (Cs) conductively coupled to said wearable item when said RFID reader is attached to said wearable item, wherein the secondary inductance and resonance capacitor form the wearable item resonator with said electrical conductor, wherein the wearable item resonator comprises a circuit (1004) to automatically adjust said resonance capacitor to compensate for a size of said wearable item when fitted to said pet; wherein the driving circuit is operable to drive the wearable item resonator.

A method and system for assisting a human in detecting an exception animal, for which an abnormal measurement value has been detected, wherein a geographical position is obtained of the exception animal, a geographical position if obtained of a user equipment of the human, a distance is determined between the obtained geographical position of the exception animal and the obtained geographical position of the user equipment, and when the determined distance is smaller than a threshold limit, an indication is sent to the user equipment confirming the proximate presence of the exception animal.

The present invention relates to an apparatus (10) for fly management. It is described to provide (310) a processing unit with at least one image of an agricultural environment, wherein the agricultural environment contains a plurality of bovine animals. The at least one image comprises image data of at least a part of at least one bovine animal of the plurality of bovine animals. The processing unit determines (320) a number of flies in the image data of the at least a part of at least one bovine animal. The processing unit determines (330) information relating to fly infestation of the plurality of bovine animals. The determination comprises utilisation of the determined number of flies. An output unit outputs (340) an indication relating to a treatment for fly infestation of the plurality of bovine animals based on the determined information relating to fly infestation of the plurality of bovine animals.

Disclosed is a monitoring method for visualizing a location of an inactive livestock in a livestock pen. This method includes extracting, by a video analysis device, livestock objects from a video image acquired for each frame and subsequently calculating center coordinates indicating a location of the inactive livestock based on coordinates of the extracted livestock objects, displaying, by a display device, an object icon representing the inactive livestock in a display region mapped to the calculated center coordinate among a plurality of display regions defined on a display screen, and emitting light by light emitting units selected based on the calculated center coordinate, among a plurality of lighting units installed in a livestock structure.

A method of in-vehicle tracking begins with establishing a communication link between a mobile device and a navigation system of a vehicle. The navigation system presents driving instructions leading to a destination. Each of a plurality of locations is serially passed over the communication link from the mobile device to the navigation system. Additionally, each of the plurality of locations is serially set, as it is communicated, as the destination within the navigation system. As the destination within the navigation system is updated, the driving instructions leading to that destination are updated as well.

A system configured to receive video and/or images from an image capture device over a livestock path, generate feature maps from an image of the video by applying at least a first convolutional neural network, slide a window across the feature maps to obtain a plurality of anchor shapes, determine if each anchor shape contains an object to generate a plurality of regions of interest, each of the plurality of regions of interest being a non-rectangular, polygonal shape, extract feature maps from each region of interest, classify objects in each region of interest, in parallel with classification, predict segmentation masks on at least a subset of the regions of interest in a pixel-to-pixel manner, identify individual animals within the objects based on classifications and the segmentation masks, and count individual animals based on identification, and provide the count to a digital device for display, processing, and/or reporting.

Disclosed are systems, methods, and non-transitory computer-readable media for automated behavioral and physiological testing of untethered testing animals. An automated behavioral testing system communicates with electronic devices attached to testing animals to provide automated physiological measurements and perturbations. The electronic devices are wirelessly charged to eliminate the need to remove the electronic devices during the course of the study. The automated behavioral testing system includes a filtering chamber positioned between a housing chamber and a behavioral testing chamber. The filtering chamber provides a passageway between the housing chamber and the behavioral testing chamber used to manage access to the behavioral testing chamber. For example, a gate component implemented between the filtering chamber and the behavioral testing chamber can be configured into either a closed configuration to restrict access between the filtering chamber and the behavioral testing chamber, or an open configuration to permit between the filtering chamber and the behavioral testing chamber.

A system for determining whether an unattended animal is left in an enclosed space is provided. The system includes a sensor provided within the enclosed space that is configured to generate temperature data and humidity data associated with an interior of the enclosed space and generate physiological data associated with the unattended animal. The system includes a control system that (a) determines, based on the temperature data and the humidity data, whether the interior of the enclosed space is unsafe for the unattended animal, (b) determines, based on the physiological data, whether the unattended animal is within the interior of the enclosed space, and (c) based on the interior of the enclosed space being unsafe for the unattended animal, starts a countdown timer when the physiological data indicates a presence of the unattended animal within the interior of the enclosed space.

The present disclosure describes a self-sprayer device for self-administering an animal product to an animal and providing environmental enrichment to the animal.

A system and method of livestock management comprising a device disposed in a livestock animal. The device comprises a network interface, a housing defining a cavity, a weighted element, a power supply, a data processing unit, a temperature sensor and an accelerometer. The temperature sensor acquires temperature data of the livestock animal. The accelerometer acquires movement data of the livestock animal. The cavity includes a data processing system having at least one processor and memory. The data processing system is coupled with the power source and communicatively coupled with the temperature sensor and the accelerometer. The data processing system transmits, via the network interface, temperature data and movement data. The cavity includes an activation receiver to receive activation signal to activate the data processing system. A livestock management server receives and analyzes the data, along with any data from any additional data sources, and provides output to a user interface.