Focus areas

Ten linked work areas.

Dairy2All spans data infrastructure, decision support, animal production, product handling, circularity, and collective action. The areas below summarise that scope.

§ 01

Ten linked work areas.

  • DDSA and data integration

    Climate, soil, biodiversity, socio-economic, market, and literature data are harmonised in a machine-readable framework.

  • DPA decision support

    A modular, mobile-first DPA translates validated knowledge into context-specific recommendations.

  • Multi-actor collaboration

    Farmers, experts, advisors, researchers, and value-chain actors interact through structured collaboration tools.

  • Feeding and forage resources

    Local forage species, by-products, and ration strategies are assessed against nutrition, cost, practicality, and environmental conditions.

  • Breeding, biodiversity and species choice

    Breed inventories, phenotypic and genetic data, and selection protocols support resilient dairy systems.

  • Management under LMDS and SOC

    Farm organisation, labour, housing, water management, biosecurity, and performance data collection are formalised for low maintenance dairy systems.

  • Health and heat-stress mitigation

    Low-input health management combines natural compounds, management adjustments, diagnostics, and thermotolerance research.

  • Accessible sensors and monitoring

    Validated low-cost sensor configurations support monitoring of temperature, activity, posture, and rumination.

  • Processing and value addition

    Low-input preservation, pasteurisation, and product pathways reduce post-harvest losses and expand locally relevant dairy markets.

  • Circularity and diversified revenue

    Circular farm configurations link manure valorisation, edible mushrooms, probiotic yoghurt, and economic assessment.

§ 02

In more detail.

Each area below summarises a strand of work across SO1-SO6 and WP1-WP7. Practice abstracts, deliverables, and other public outputs that address these areas will be listed on the resources page as they become available.

DDSA and data integration
SO1 centres on the Database for Decision-Support and Analysis (DDSA), which integrates heterogeneous datasets, expert-curated knowledge, provenance tracking, and interoperability standards for decision-support and analysis.
DPA decision support
SO2 and WP6 define the Dairy Platform for Action (DPA) as the operational layer linking data streams, AI-supported services, analytical tools, expert validation, and low-bandwidth user interfaces.
Multi-actor collaboration
SO3 focuses on peer learning, expert consultation, farmer groups, cooperatives, and knowledge exchange across regions, value chains, and socio-economic contexts.
Feeding and forage resources
WP3 develops crop and by-product inventories, links feed options to climate and soil conditions, and validates feeding strategies for sub-optimal dairy systems, including circular use of local resources.
Breeding, biodiversity and species choice
The project characterises local and foreign species and breeds, evaluates resilience and productivity traits, and develops breeding and crossbreeding strategies that account for biodiversity and local adaptation.
Management under LMDS and SOC
WP4 develops operational protocols and data templates so farm establishment and day-to-day management can be adapted to available resources, market conditions, and local constraints.
Health and heat-stress mitigation
SO5 and WP4 validate plant-based bioactives, field diagnostics, immune and heat-stress indicators, and protocols to reduce losses and dependency on conventional antimicrobials under sub-optimal conditions.
Accessible sensors and monitoring
Precision livestock farming tools are adapted for LMDS settings to improve monitoring, early detection, and the phenotyping of thermotolerance under field conditions.
Processing and value addition
WP5 develops decision-support frameworks for milk utilisation, storage, transport, and processing, including fermented products, fresh cheeses, butter, and other locally relevant products.
Circularity and diversified revenue
SO6 and WP5 develop circularity indicators, manure-to-mushroom systems, probiotic yoghurt micro-enterprises, and farm-level revenue models integrating production, processing, and resource reuse.