CONSUMER-DRIVEN DEMANDS TO REFRAME FARMING SYSTEMS

CyRIC is the project coordinator and oversees all the work. From a technical point of view, CyRIC is involved in the development of the FRET-based eggs quality analysis device, in collaboration with CNR. CyRIC through their business development department and the Gravity incubator is the leads the activities related to the new business models development for the goat value chains.

AUTH leads the work on assessing links between the quality of animal (dairy goat and poultry) products and husbandry systems whilst considering animal health and welfare issues. They also participate in work associated with the stakeholders’ involvement on the evaluation products’ quality, the design of the pilot studies, study protocols, data collection and the evaluation of animal health, stress and behavior during the pilots

CNR will mainly focus on identification, production and characterization of biomolecules that specifically recognize the selected analytes for the novel portable eggs’ analyser. Their activities will also be focused on analysis using standard laboratory equipment various food samples from the pilot sites to understand their quality.

REM will provide microbiome analysis using its unique analytical platform. Collaborating with all partners responsible in pilot activities, they will design and optimise the sample collection, processing and logistics protocols. They are also involved in the interpretation of integrated results, and the design of authentication strategies for high-quality products.

EXUS will be developing the cloud software platform to be used in Code: Re-farm for data collection and analytics, but also for facilitating product lifetime monitoring.

BIOS will develop and validate a tool for sub mastitis detection while being in close collaboration with all other technical and animal science partners for the testing and validation of the developed instrument They also lead the work related to the interaction with the DIHs and their networks

AUA will be involved in tasks associated with observation, recording and assessment of productive traits, animal health and welfare indicators, and stress factors. They are also be involved in the development of sampling and recording protocols in the goat pilot-sites and lead the taste panels tasks.

TUW will work on the development of novel analysers for milk analysis and remote gas sensing. TUW will also support QRT in calibration and validation aspects of the envisioned new milk analyser. They will also collaborate with UC3M to develop optical layouts for remote gas sensing employing dispersion spectroscopy.

UC3M will design, develop and characterize an LHR for remote sensing of enteric methane in goats. They will also develop the electronics for the open-path molecular dispersion spectroscopic detector that will measure air quality inside goat & poultry barns

ALPES will be responsible for the lasers sources development that will be used as light sources in the spectroscopic devices. They also participate in the collection of related specification requirements, as well as in the system integration & validation.

ICCS will be involved in computer vision, signal processing and machine learning techniques for different facets of animal health and welfare status identification. They are also involved in related preparatory activities and in the testing & validation of the development tools.

QRT will be responsible for the design, realization and characterization of a demonstrator that will be used for fast and precise quantification of multiple quality parameters in goat milk including a protein profile. These essential parameters will be linked to the husbandry systems within the project.

TCA will use their network to enable stakeholder involvement throughout the project.  They will also design and implement an augmented reality mobile app to engage the consumers, to increase the consumer trust and to collect the end-users’ feedback

AERES will lead the field study that will cover three different production lines for the poultry industry. The different production lines and husbandry system investigations will take place on existing farms of intensive and extensive systems. AERES also lead the training activities.

NOLDUS will develop AI-based analysis to bring together and synchronize data from multiple sensors, and then use machine learning to enable measurement of higher-level parameters enabling the partners to form an accurate assessment of the health and welfare of the animals.

UCPH will provide time series modelling of sensor data collected in poultry and goat pilots to provide early warnings of undesired events. They will  also provide machine vision models to extract information from video data to provide video-based alarms for undesired behavior and/or signs of disease.

SAAV will be facilitating the validation procedures & KPIs and lead the goat husbandry systems pilots’ setup in Italy. They will also collaborate with other partners for evaluation of animal health, stress and behaviour whilst also evaluating goat milk and dairy products quality using conventional and novel techniques.

Caprilait will be facilitating one of the pilots, on the Alpine goat breed. They will also be involved in the stakeholder identification and categorization, and in defining the most relevant use cases for the development of new technologies for farmers.

Agromilk IKE will serve as the pilot site for the intensive farming system and will offer breeding stocks and facilities for recording, sampling, and testing, health and welfare indicators as well as, traits associated with the intrinsic quality and safety of the produced goat milk.

A representative low-input farm of the ‘Skopelos’ Goat Cooperative located at Skopelos island will serve as the pilot site for the assessment of the milk intrinsic quality and safety traits, as well as of health and welfare status of Skopelos goats reared under the extensive production system.