Partner Search - HORIZON-CL6-2027-02-FARM2FORK-01: Increasing the resilience of agriculture in water and nutrient-scarce environments

Bondalti Water is a water and wastewater engineering company with in-house innovation capabilities, combining advanced water treatment/reuse know-how with sensing, modelling and AI-enabled decision-support. We contribute as an industrial partner able to turn R&I into deployable solutions through pilots/demonstrations, integration with operational systems, and cost-effective implementation pathways.

We can contribute strongly in each of the following areas, especially where water scarcity intersects with water quality, reuse and nutrient circularity:

1) Digital water & nutrient monitoring systems (field + water loop)

• Design and deployment of monitoring architectures that combine soil/irrigation-water quality, nutrient availability indicators, and operational constraints (connectivity limitations, ruggedized hardware, maintenance).

• Integration of monitoring outputs into existing FMIS/DSS and farm advisory workflows.

2) Reclaimed water and circular nutrient pathways as resilience levers

• Engineering of safe, fit-for-purpose treatment/reuse configurations for irrigation, including monitoring and control concepts that support farmer confidence and practical adoption (quality assurance, variability management, and operational decision rules).

• Linking nutrient management with water management to reduce reliance on mineral fertilisers (aligned with expected outcomes).

3) AI-enabled decision support and digital twins for scarce environments

• Development of AI-enabled DSS to assess and optimise water and nutrient use under different pedoclimatic zones and farm characteristics, including impacts on pollution and biodiversity.

• Predictive tools for drought-driven constraints and input optimisation (irrigation scheduling, fertigation strategies, and risk flags for water/soil quality).

4) High-quality datasets for AI training (FAIR-by-design)

• Creation of curated datasets and protocols (metadata, harmonisation, standardised collection and documentation) to support AI training and reproducibility, with a clear plan for public availability and legal clarity.

5) Translation to practice: affordability, trust, accessibility and SSH

• Identification of barriers/enablers for uptake (trust, transparency, training/advice gaps, accessibility including low digital literacy and disability-inclusive design), with SSH partners.

Roles we can take

• Industrial technology integrator for monitoring + decision-support chains (sensor → data pipeline → models → FMIS/DSS).

• Demo/pilot leader for water-related innovations (including irrigation-water quality assurance and circular water concepts).

• Data provider and dataset lead, ensuring high-quality, standardised AI training data outputs.

Keywords / tags

Water scarcity; nutrient scarcity; precision irrigation; fertigation; reclaimed water; water quality monitoring; soil–water–nutrient nexus; IoT sensing; FMIS integration; AI decision support; digital twin; high-quality training datasets; farmer adoption; affordability; trust & transparency; inclusive design; organic farming; multi-actor approach.