A method and apparatus (3) for operating a rotary milking platform (1) to maximise the number of animals milked per unit time. The milking platform (1) is rotated about a central vertical axis (4) by a variable speed motor (6), and comprises a plurality of animal accommodating locations (5) for the animals being milked. An entry position (7) and an exit position (9) accommodate animals to and from the platform (1). A position sensor (10) monitors the angular position of the platform (1). An RFID sensor (12) reads the identity of animals entering the platform (1). Historical data relating to milking time per milking session and the milk yield per animal per session is stored in an electronic memory (17). A microprocessor (15) reads signals from flow meters (14) which monitor the milk flow from milking clusters of each animal accommodating location (5). The microprocessor (15) is configured as each animal enters the platform (1) to compute an optimum angular velocity for the platform (1) in order to maximise the number of animals milked per unit time. The optimum angular velocity is computed as a function of the historical data of each animal on the platform (1), and the current milk yield of each animal on the milking platform (1) determined from the flow meter (14).

A system and method for verifying proper milking system performance during the milking process. The system and method incorporates an integral function within a pulsator valve device that routinely performs functional evaluations and is capable of reporting results to the user. An additional air valve apparatus can be used to supply additional air to the pulsator valve device.

In a headlock system having a plurality of n headlock cells, each of the n cells being adapted to enclose at least one animal; n is an integer greater than 1; a system for locating the position of at least one animal, the system comprising: at least one identification means adapted to transmit at least one identification signal associated with said at least one animal; at least one locating means adapted to generate at least one location signal associated with said at least one animal; and, a data processing system in communication with said at least one identification means and said at least one locating means, adapted to analyze said signals, said analyzed signals comprising the position within a predetermined region in said headlock system of each of said at least one animals as a function of time.

In a headlock system having a plurality of n headlock cells, each of the n cells being adapted to enclose at least one animal; n is an integer greater than 1; a system for locating the position of at least one animal, the system comprising: at least one identification means adapted to transmit at least one identification signal associated with said at least one animal; at least one locating means adapted to generate at least one location signal associated with said at least one animal; and, a data processing system in communication with said at least one identification means and said at least one locating means, adapted to analyze said signals, said analyzed signals comprising the position within a predetermined region in said headlock system of each of said at least one animals as a function of time.

A milking system includes a milking device with a milking control, a milk line, and a sampling/analysis device. The milking control controls the milking based on said analysis. The sampling/analysis device includes a reagent carrier, including a tape with a first side with a reagent pad that detects the presence of a substance in the milk sample and a second side, a dosing device to provide a droplet of said sample onto the reagent pad, a source for emitting source radiation onto the reagent pad, and a sensor to detect response radiation emitted by the reagent pad, and to analyse the detected response radiation to indicate the presence or concentration of said substance. The first side faces away from the sensor during analysing by the sensor. By viewing “from below”, the observed reaction in the reagent is cleaner, and suffers less from artefacts, and the camera will stay cleaner.

A milking system includes a milking device with a milking control, a milk line, and a sampling/analysis device. The milking control controls the milking based on said analysis. The sampling/analysis device includes a reagent carrier, including a tape with a first side with a reagent pad that detects the presence of a substance in the milk sample and a second side, a dosing device to provide a droplet of said sample onto the reagent pad, a source for emitting source radiation onto the reagent pad, and a sensor to detect response radiation emitted by the reagent pad, and to analyse the detected response radiation to indicate the presence or concentration of said substance. The first side faces away from the sensor during analysing by the sensor. By viewing “from below”, the observed reaction in the reagent is cleaner, and suffers less from artefacts, and the camera will stay cleaner.

A milking system includes a milking device, a milk line, and a sampling and analysis device for the milk that includes a control unit, a tape mover to move and unwind a tape wound on a tape reel and with a base material with reagent pads, that detect a substance in the sample, and a dosing device to provide the sample onto a reagent pad, and a sensor to detect radiation from said reagent pad, and to analyse the detected radiation to indicate a presence or concentration of said substance. The reagent pad is facing downward during provision of the sample. In this way, the chance of excess liquid falling from the reagent, and possibly onto a camera, is reduced. Smaller reagent pads may be used, it reduces the chance of supplied liquid spilling over to a neighbouring reagent pad, the measures preventing this spilling may be limited, and it is easier to suck away excess fluid.

A milking system includes a milking device, a milk line, and a sampling and analysis device for the milk that includes a control unit, a tape mover to move and unwind a tape wound on a tape reel and with a base material with reagent pads, that detect a substance in the sample, and a dosing device to provide the sample onto a reagent pad, and a sensor to detect radiation from said reagent pad, and to analyse the detected radiation to indicate a presence or concentration of said substance. The reagent pad is facing downward during provision of the sample. In this way, the chance of excess liquid falling from the reagent, and possibly onto a camera, is reduced. Smaller reagent pads may be used, it reduces the chance of supplied liquid spilling over to a neighbouring reagent pad, the measures preventing this spilling may be limited, and it is easier to suck away excess fluid.

A bulk fluid monitoring system and method for monitoring milk is provided, including a plurality of sensors for providing information in relation to properties of a bulk fluid, a memory for holding data parameters including information provided by the sensors and a predetermined time-and-temperature curve for a fluid, a processor for determining whether the information in relation to properties of the bulk fluid is within the bounds of the time and temperature curve for a fluid.

Systems and methods for detecting udder disease based on machine learning methods and complementary supporting techniques are presented. Included are methods for assembling time sequences of images of each animal of a herd or set for subsequent use in per-animal image analysis for disease detection. Methods presented also include image pre-processing methods used prior to image analysis, resulting in contrast and resolution optimization such as appropriate image intensity level adjustment and resolution downsampling for more rapid and more accurate disease detection. Combinatorial techniques for compositing whole-udder images or udder-quarter images from partial images captures are described. Methods are provided for power usage optimization in regard to computing resources used in the computing-intensive AI analysis methods. Location-based and animal history-based detection refinements are incorporated into described systems. Further presented are methods for multi-modal and multi-factor detection of udder disease, as well as methods for infection type classification.