Livestock

Developed under the AADGG, the app enables users to search and view historical data on each individual cow. (Image source: AADGG)

In an attempt to boost productivity and support smallholder farmers, an advanced livestock monitiring app has been launched under the African Asian Dairy Genetics Gains Project (AADGG)

As part of the combined effort from the International Livestock Research Institute (ILRI) and the Centre for Tropical Livestock Genetics and Health (CTLGH), this tool offers real-time capabilities in livestock health, feed management, and artificial insemination data collection, none of which were previously available with the commonly used Open Data Kit (ODK) system.

How it works

The app replaces a simpler ODK data-gathering system that could be accessed through a tablet or laptop but could not be accessed by farmers, while also making it relatively difficult to retrieve collected data. Developed under the AADGG, the app enables users to search and view historical data on each individual cow. It also makes it easier to register farms, farmers and their livestock, enabling the recording of household information, health, breeding, and productivity data on individual cattle by farmers, researchers, and AADGG collaborators. With improved visibility and data quality through this mobile app, efforts to select adaptable, high-yielding dairy genetics for smallholder dairy farmers in Africa and Asia will be significantly strengthened.

"The app is a game-changer for us, providing a long-term sustainability path for our data collection. It gives us many more opportunities for data capture and of higher accuracy," said Raphael Mrode, ILRI Principal scientist and researcher at CTLGH.

Some of the features and benefits of the application include:

1. Real-time data collection: Enables instant recording and feedback on livestock health, breeding, and productivity.

2. Advanced modules: Tracks pedigree, milk output, farm size, animal traits, and more, offering comprehensive insights.

3. Historical data access: Provides farmers with visibility into past records, enhancing decision-making.

4. User-friendly design: Runs on Android smartphones and is designed for accessibility, with future plans for local language translations.

The AADGG-Dairy Data App runs on Android smartphones and was rolled out by a multi-national team in four African countries, namley, Ethiopia, Kenya, Tanzania, and Uganda and in Nepal during the months of September-October. Jennifer Volk, senior Information and Data Systems Lead at CTLGH emphasised that the app's interface and real-time feedback greatly helped farmers to better manage their livestock, while also addressing the key challenges faced by them.

By advancing sustainable livestock management, ILRI and CTLGH have embarked on a quest to empower smallholder farmers through innovative solutions. They have also invited stakeholders, policymakers, and development partners to join efforts in scaling its impact and transforming farming practices globally.

The system is designed to maximise efficiency in feed management, allowing producers to reduce costs and optimize resource utilisation. (Image source: Topcon)

Leading precision agriculture designer, manufacturer and distributor, Topcon Agriculture recently announced the launch of its latest feeding system, TMR Flex Pro that enables smooth management of the feeding process

The system also provides real-time insight in key aspects such as dry matter, refusals and pen deliveries. Besides accuracy, other key elements that are critical to this include elements such as time and flexibility. This is particularly important for larger farms. Developed together with farmers, the modular TMR FlexPro helps improve daily workflow on the go and in a practical and convenient way. 

A major advantage of this system inclues its self-explanatory interface which is simple and reduces the learning curve, while also ensuring ease of use for individual operators and feeding teams. Moreover, the system also allows multiple users to seamlessly collaborate during the loading and delivery process, thereby enhancing not only visibility, but also efficiency and productivity. 

“Ingredient tracking functionality enhances inventory control, and the system’s unique refusal recording and substitution feature reduces feed waste, improving sustainability and farmers’ return on investment,” said Topcon Agriculture's senior vice president and segment leader of nutrition and weighing technologies, Wim De Wit. 

The system comprises the Digi-Star FD1 tablet, a data transfer device, and the TAP FEED Pro/Feedlot subscription and is designed to maximise efficiency in feed management, allowing producers to reduce costs and optimise resource utilisation. It offers enhanced data visibility and monitoring capabilities, providing farmers with valuable, data-driven insights for better planning and decision-making. 

“TMR Flex Pro can be connected to existing Digi-Star scale systems or load cells of any kind on any brand feed mixer. It is the best-in-class upgrade solution to achieve a next-level feed management experience on any type or size dairy and feedlot operation,” De Wit said. “The TAP FEED cloud platform allows producers to collaborate with their trusted partners such as feed suppliers, nutritionists, and others who all have an increasing need for real-time data for the benefit of their advancing business models and sustainability agendas.”

For poultry processors seeking to optimise their anatomic leg processing operations, ALPINE offers unparalleled efficiency, consistency and ease of use. (Image source: Marel)

Given the high demand for deboned leg meat, the Anatomic Leg Processor Innovative New Evolution (ALPINE) represents a significant leap forward in anatomic leg processing

By maintaining top-level performance while handling a wide range of weights and reducing labor dependency, ALPINE addresses processors' needs for increased production volumes while also maximising yield and quality. A number of advanced technologies such as the Hip Dislocation Wheel have been used to realise ALPINE's high performance. This unique feature allows for precise control of the hip tilting movement─needed to achieve an anatomical cut─without exerting excessive force or removing the leg from the shackle. It results in improved performance and virtually inexistent leg loss. 

In an attempt to further enhance accuracy and minimise errors, ALPINE incorporates advanced back piece separation and detection technology which prevents incorrectly cut legs. Optionally, processors can integrate a special module to remove groin skin automatically, meeting specific market demands while saving considerable manual trimming labour.

Easy operation

ALPINE is equipped with a user-friendly HMI touchscreen, making it easy to enter a recipe that matches the specific characteristics of the incoming flock. This automatically engages the proper machine settings to provide the highest possible leg yield. 

The screen also shows performance data, enabling processors to monitor key metrics such as backpiece detection, leg loss, and unprocessed legs. Built-in machine software provides this real-time and historical performance data. Such proactive insights minimise the need for manual intervention and prevent downtime. ALPINE’s data-driven approach enables processors to maintain peak performance with minimal need for maintenance.

Wide weight range with consistent results

Designed to process high-yield anatomic legs across an unprecedented range of bird weights without requiring major adjustments, ALPINE's versatility is valuable for processors handling diverse flock weights. This enables them to optimise operations even in big bird processing markets. 

Regardless of weight fluctuations, the result will always be consistent: a high-yield leg. Compatible with both water-chilled and air-chilled lines, ALPINE easily integrates into existing setups and pairs excellently with Marel's Thigh Fillet System, at a capacity of up to 7,200 products per hour.

Saving labour

Keeping legs within the shackles at all times enables ALPINE to practically eliminate product drops and minimise rework, downtime and labour. Digital operation, automated settings, reduced need for adjustments and precise performance monitoring further highlight its labor-saving advantages. Touchscreen control and the broad weight range further contribute to ALPINE’s efficiency, ease of use and consistently high yield.

Body AI Score is a camera-based system. (Image source: SCHAUER Agrotronic)

SCHAUER Agrotronic GmbH has launched Body AI Score that ensures automated condition assessment and condition-adapted feeding 

Body AI Score is a camera-based system that can be used in the feeding station, selection station or as a stand-alone device during stabling. The animal is recorded by camera from several positions, analysed and the condition of the animal determined. The artificial intelligence (AI) supported analysis of the animal is based on a specially created standard, which has been developed and calculated through countless practical measurements. It can be installed in the feeding station itself or in CID Selection. This enables continuous measurement of the condition curve and early adjustments to the feed curve. However, it is also possible to equip a separate stand-alone station, which is positioned in the raceway, with which all animals are assessed before being driven into the holding pen.

Until now, the condition of the animal could only be evaluated by measuring the thickness of the back fat. This is extremely time-consuming and difficult to reproduce, as this measurement has to be carried out at specific, precisely measured points. Automation is not possible due to the high individuality of the animals. Another approach is to record the animal's weight. However, this method only allows limited conclusions to be drawn about the condition of the animal, as the animals can be of different lengths and heights and therefore their weight is of little significance.

Furthermore, the weight also fluctuates greatly depending on whether the sow has just consumed water or feed, defecated or urinated. This leaves only the trained eye of the operator. External staff are often not qualified to correctly assess the animals. With Body AI Score, it is possibl to automate the condition assessment and assignment of the correct feed curve, thereby optimising performance and costs.

It is not sufficient to assess the condition of pregnant sows based solely on weight. This requires a correct assessment either by the trained eye of the barn staff or, for example, by measuring backfat thickness, However, this method often produces inconsistent results. The barn staff judge the animals according to criteria such as ‘not too lean’ or ‘not too fat’. The amount of feed required depends on the condition of the sows. This is significantly influenced by the sow's condition. However, as the barn staff often change on larger farms, the sows are often fed the same amount.

If the animals are not fed properly, they become fat, waste feed or are too thin. Automatic control helps to avoid this. The animals are fed in the way that is best for them. This saves money and makes the animals more fertile.