CONSUMER-DRIVEN DEMANDS TO REFRAME FARMING SYSTEMS

UNDERSTAND THE RELATIONSHIP BETWEEN INTRINSIC QUALITY & HUSBANDRY IN GOAT & POULTRY PRODUCTION SYSTEMS

The study will cover 3 different production lines for the poultry industry: 1. Broilers, 2. Egg laying hens, 3. Dual purpose production lines. For each line, 2 different husbandry systems will be investigated: a) Intensive (not for the dual purpose, since it is not currently applicable), b) Extensive. For the goats industry, one production line (milk production) will be investigated, focusing on breeds with: 1) High and 2) Medium milk production potential. For each breed, 2 different husbandry systems will be studied: a) Intensive, b) Extensive.Each combination of line-farming system (poultry) or breed-farming system (goats) will be assessed in terms of i) animal health & welfare indicators, ii) milk yield (goats), eggs and meat production & quality (poultry), iii) consumer-demand-driven reshape potential and iv) intrinsic quality of the derived products based on nutritional value, hygiene/safety and general organoleptic/sensorial traits.

STUDY FUTURE CHALLENGES OF GOAT AND POULTRY INDUSTRY AND SUGGEST RELEVANT MODIFICATIONS AND ALTERNATIVE BUSINESS MODELS & ECOSYSTEM MANAGEMENT PRACTICES. INCREASE THE ADDED VALUE OF PRODUCTS

Based on analysis of input from relevant project partners and wider stakeholder groups in the business ecosystem, we will explore future challenges in existing farming systems and the accompanying value chains. This includes a needs assessment to understand the changing demand side, as well as investigating changes on the supply side. We will also establish an inventory of contemporary and new business models to address these future challenges. The results of the analysis will be used to develop new business models (especially for ELPS) that fit sustainable, consumer-demand-compatible business, including reframing of value chains & ecosystem management systems. Thus, the project aims at adding value to high quality livestock products, through data-based (exploiting also pilot results – KSO #1) demonstration. The alternative business models will be evaluated on viability, financial & environmental sustainability. This will inform planned targeted interventions according to products’ life cycle, industry capabilities & sustainable potential for goat & poultry farming.

DEVELOP NOVEL TOOLS/METHODS FOR PRODUCT QUALITY ASSESSMENTS ALONG THE VALUE CHAIN, AS WELL AS FOR ANIMAL BEHAVIOUR, HEALTH AND STRESS ANALYSIS

Several different novel tools will be developed for milk analysis, eggs analysis, preclinical mastitis detection, microbiome analysis, automated animal health & welfare assessment, gas analysis. 

DEVELOP A PRODUCT INTELLIGENT ANALYTICS PLATFORM FOR QUALITY MONITORING AND MANAGEMENT OF GOAT AND POULTRY PRODUCTS

It will facilitate data gathering, visualization and analysis. The Code: Re-farm tools/instruments will be able to directly transmit analysis results to the platform, where also other data will be fused (from conventional analysis, food traceability information, animal/food tags etc). The platform will include an AI-based Semi-Empirical Recommendation Engine for supporting accurate decisions based on Fuzzy Logic. The platform itself will also facilitate the tracing of the entire Product Lifecycle Roadmap.

Latest News

📽📢Consumer App v.2!

This video is a demonstration of the second version of the Consumer App developed within Code: Re-farm. This user-friendly mobile application aims at bridging gaps between the consumer and the[…]

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February 21, 2024 0

📢 Taste panels progress!

The teams have been busy test-tasting these past few months as part of our promise to conduct taste panels in 4 countries and 5 locations! The products were goat milk,[…]

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February 21, 2024 0

Webinar 📢: Towards Climate-Smart Livestock Systems

🗓 January 24,2024📌 Zoom “Do you want to fine-tune your vision for sustainable food systems (SFS)? Do you want to learn more about climate-smart livestock system solutions?Livestock production clearly contributes to[…]

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Meet the Consortium 

21 Partners 

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.


TU/e leads the “Analysis of challenges & opportunities” regarding alternative business models and ecosystem management proposals. The aim is to examine the major challenges that the poultry and goat industry, and the related value chain, experience in extensive and intensive farming. They will also explore opportunities for alternative business models for value creation as well as ecosystem management involving key stakeholders in poultry and goat farming.

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.

Affiliated projects

We work closely and collaborate with the following consortia through common publications and dissemination activities. 

Linking extensive husbandry practices to the intrinsic quality of pork and broiler meat.

mEATquality
Learn more

INnovative Tools for Assessment and Authentication of chicken meat, beef and dairy products – QualiTies.

intaqt
Learn more

Identifying and increasing sustainable practices along the supply and production chains of EU livestock.

PATHWAYS
Learn more

The project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101000216

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