Livestock management
Livestock management involves the care, breeding and handling of farm animals such as cattle, sheep, pigs and poultry. It includes providing proper nutrition, shelter and healthcare to ensure animal welfare as well as productivity. Farmers must monitor animal health closely to prevent disease and ensure sustainable production. Effective livestock management requires automated record-keeping, pasture management and waste control. Increasingly, sensors, data analytics and automated monitoring systems are being integrated to enhance decision-making and improve overall efficiency in livestock operations.
- Animal husbandry
Animal husbandry in agriculture refers to the practice of breeding and raising livestock for various purposes, including for meat, milk, eggs, wool and labour. It encompasses a wide range of activities aimed at managing and caring for animals to ensure their health, productivity and welfare. Modern animal husbandry practices focus on enhancing efficiency and productivity whilst minimising environmental impact and ensuring the ethical treatment of animals. By integrating traditional knowledge with modern techniques, animal husbandry aims to meet the growing demand for animal products, while addressing challenges such as climate change, resource scarcity and animal health issues. This encompasses technical aspects such as sensing, detection and identification, monitoring the activity, status, position and health of animals, robotic technologies for animal husbandry, as well as artificial beehives or honeycombs.
Sensing and imaging
Sensors/tags for cattle are already widely used to keep track of the identity or whereabouts of an animal. Advanced sensing and imaging systems can monitor livestock health and behaviour continuously, helping farmers detect early signs of stress, illness or oestrus. Wearable collars equipped with accelerometers and temperature sensors can track movement patterns and body heat, alerting managers to reduced activity or fever indicative of disease. Overhead depth cameras mounted in barn aisles can measure body condition scores by analysing postural silhouettes, flagging animals that require nutritional adjustments. By combining these data streams, herds can be managed proactively, minimizing treatment costs and improving their overall welfare.
Robotic feeding
Feeding is one of the biggest costs and most labour-intensive activities on a farm. Automation has found its way into modern farms in a wide variety of ways. Robotic feeding systems can automate diet distribution by delivering tailor-made rations to individual pens based on each animal’s growth stage and health profile. The consistent and timely distribution of feed ensures, for example, that all animals have equal access to a balanced diet and reduces feed refusals.
Automated animal care
Technologies for automatically caring for animals include administering insecticides and medication, washing, cleaning, grooming, health monitoring and breeding management.
Robotic stable maintenance
One of the biggest advantages of a manure robot is probably the ease of work. The robot takes the manure-shovelling out of the hands of the farmer, saving time and physical strain. Autonomous manure scrapers and floor-washing robots can maintain hygiene in barns, reducing pathogen loads, as well as ammonia fumes that can be harmful to human lungs. Efficiently removing manure with a manure robot reduces ammonia concentration in the barn, ensuring a cleaner and healthier stable environment.
Automated egg handling
No agricultural product requires as little processing before it reaches the consumer as an egg, but it nevertheless has to be handled very delicately. It is no surprise that robots have taken over the automatic testing, sorting (grading) packing and washing of eggs, resulting in a higher percentage of saleable products.
Drones
Drones equipped with thermal cameras can perform aerial inspections of extensive grazing lands, locating animals in large pastures and identifying individuals that exhibit abnormal heat signatures, which could be signs of injury or infection. High-resolution red, green, blue RGB imagery helps to map pasture utilization, guiding rotational grazing plans to prevent overgrazing. This aerial approach boosts monitoring efficiency over rugged terrain, saving time and labour.
Insects
Insect-keeping encompasses two main streams: farming edible insects and apiculture. In edible-insect farms, species like crickets, mealworms and black soldier flies are reared in climate-controlled facilities, producing high-protein flour or whole insects for human consumption and animal feed with far lower land and water use than traditional livestock. Beekeeping, by contrast, focuses on managing honey bee colonies in hives to harvest honey, wax and other hive products while providing critical pollination for fruit, vegetable and nut crops. Insect-keeping has also benefited from digital farming tools, with internet of things (IoT) sensors and automated climate-control systems ensuring optimal temperature, humidity and ventilation for maximized insect growth and health. Computer-vision cameras and AI-driven analytics can track insect density and development stages in real time, enabling precise feeding schedules and automated harvesting that boost productivity and biosecurity.
- Milking
Milking is a specialised aspect of animal husbandry. It involves the extraction of milk from dairy animals, primarily cows, goats, and sheep, which requires specific skills and equipment to ensure efficiency, hygiene and animal welfare. The introduction of robotics in milking has revolutionised this aspect of animal husbandry by enhancing efficiency and precision. Robotic milking systems, also known as automatic milking systems (AMS), allow for the automated milking of dairy animals without the need for constant human intervention. These systems use advanced sensors and software to identify individual animals, attach milking cups and monitor milk yield and quality in real-time. Sensors detect animal data and diseases (such as mastitis) on-site, are connected to the milking process and deliver information for herd management. Robotics in milking not only reduces labour costs and increases productivity but also improves animal welfare by allowing cows to be milked at their own comfort and frequency.
Sensors and imaging
In modern dairy parlours, teat brushes and milking clusters integrate optical and pressure sensors to ensure proper udder preparation and attachment, preventing injury and contamination. Infrared cameras inspect teat cleanliness and detect early mastitis by identifying temperature asymmetries across quarters. Flow meters measure milk yield and conductivity in real time, flagging cows that deviate from baseline production or exhibit elevated electrical conductivity linked to infection. By embedding these sensors into milking routines, farmers safeguard milk quality as well as cow comfort.
Data processing and AI
Milking data, including yield per quarter, milking speed and conductivity, feed AI systems that build individualized lactation curves and health profiles for each animal. Machine-learning models analyse deviations in these curves to predict drying-off needs or the onset of metabolic disorders, recommending nutritional or medical interventions. Data-dashboards can also optimize milking schedules by clustering animals based on production and health status, balancing parlour throughput with animal wellbeing.
Automation and robotics
Robotic milking units allow cows to be milked on their own schedule, using sensors, animal tags and image-recognition algorithms to identify each animal and attach milking cups automatically. These robots clean teats, measure yield and milk composition and dislodge clusters once milking is complete, all without human intervention. Integrated teat-spraying modules apply disinfectant post-milking, reducing infection risk. By decentralizing milking labour, dairy farms can operate around the clock, improving throughput and cow autonomy.