AgriProAct

AI-based Agro-Meteorological Decision Support System

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General Information

Funding Programme / Call

Research and Innovation Foundation (RIF) – RESTART 2016–2020 Programmes; Programme: AI in Government; Proposal Number: AI IN GOV’T/0725/0012

Funding Body / Agency

Research and Innovation Foundation (RIF), Cyprus

Project Duration
(Start – End)

24 months (Phase A & B)

Total Funding (€)

€500,000

UCY Budget (€)

€129,000

Project Status (Proposed / Ongoing / Completed)

Ongoing

Project Coordinator (Organisation)

TERRATEQ INNOVATION LIMITED

UCY Primary Investigator (PI)

Dr. Petros Mouzourides

External Partners / Consortium Members

  • TERRATEQ INNOVATION LIMITED (Coordinator)
  • University of Cyprus (UCY)
  • CYENS – Centre of Excellence
  • Anyfence A.I. Ltd

Project Overview

AgriProAct is an AI-driven agro-meteorological decision-support platform designed to transform Cyprus’s fragmented agricultural, meteorological, and environmental datasets into a parcel-level operational intelligence system. The project integrates national weather infrastructure (~52 automatic weather stations, NWP products), Copernicus Sentinel-1/2 Earth Observation, in-situ soil sensors, and livestock telemetry into AI-powered parcel digital twins. Through a Predict–Verify–Learn framework, AgriProAct continuously forecasts soil moisture, temperature, nutrient and salinity risks, irrigation needs, grazing pressure,

and weather hazards such as frost, drought, and heavy rainfall. These outputs are delivered to farmers via mobile/web platforms and SMS advisories, while government authorities receive aggregated fiscal, environmental, and CAP-aligned policy intelligence through a dedicated dashboard. The project addresses Cyprus’s urgent needs for climate adaptation, agricultural resilience, water conservation, subsidy optimisation, and greenhouse gas mitigation. By shifting agriculture from reactive compensation-based responses to proactive predictive management, AgriProAct strengthens national resilience, enhances resource efficiency, and supports compliance with EU Green Deal, CAP, and INECP objectives.

Scientific / Research Field
Artificial Intelligence, Agro-Meteorology, Climate Adaptation, Precision Agriculture, Environmental Monitoring, Public Sector Innovation
Keywords (Include 4–6 keywords relevant to research domain, technologies, and application sectors)
AI, Agriculture, Decision Support, Precision Farming, Climate Resilience, Copernicus, IoT, Soil Monitoring, Digital Twins, Sustainable Agriculture

Objectives

Main Objective:
To develop and operationalise an AI-powered parcel-scale agro-meteorological forecasting and decision-support platform for Cyprus that enhances agricultural productivity, water efficiency, climate resilience, and policy intelligence.

  • Specific Objectives
  • Objective 1: Develop AI forecasting models for parcel-level soil moisture, temperature, and environmental risk forecasting
  • Objective 2: Implement a self-correcting Predict–Verify–Learn system for adaptive model recalibration
  • Objective 3: Quantify climate impacts on productivity, subsidy exposure, and environmental compliance

Project Team / University of Cyprus (UCY)

Dr. Petros Mouzourides

Principal Scientific Investigator

Prof. Marina Neophytou

Research Team

Giorgos Alexandrou

Research Team

Impact & Outcomes

  • Expected Results:
  • Development of a fully operational AI-based agro-meteorological product for Cyprus
  • Establishment of parcel-scale Digital Twin integrating meteorological, environmental, and agricultural datasets
  • Deployment of prototype hybrid soil-weather monitoring systems and interoperable data pipelines
  • Delivery of actionable farmer advisory tools (web/app/SMS) for irrigation, fertilisation, and climate hazard preparedness
  • Creation of a government dashboard for CAP compliance, subsidy exposure forecasting, and policy intelligenc

Scientific Impact

  • Advances in AI-enabled agro-meteorology, precision agriculture, and climate adaptation science
  • Integration of atmospheric sciences, environmental modelling, remote sensing, IoT, and digital twin methodologies
  • Development of innovative Predict–Verify–Learn frameworks for adaptive environmental forecasting
  • Strengthening Cyprus’s scientific capacity in climate-smart governance and AI applications
  • Creation of a government dashboard for CAP compliance, subsidy exposure forecasting, and policy intelligenc

Societal / Economic Impact

  • Improved agricultural productivity and resilience to climate variability
  • Reduced irrigation demand, fertiliser overuse, and associated environmental pressures
  • Enhanced public-sector efficiency through predictive subsidy and policy planning
  • Strengthened food security, water conservation, and rural economic sustainability
  • Creation of scalable national infrastructure supporting long-term digital agriculture transformation

Dissemination & Exploitation Plan:

  • Stakeholder workshops with farmers, cooperatives, ministries, and policy actors
  • Public communication materials, technical reports, and policy briefs
  • Development of commercialisation roadmap for future scaling
  • Integration into national climate adaptation and agricultural governance systems

Stakeholders / End-users

Policy bodies
Ministry of Agriculture, Rural Development and Environment, Department of Meteorology, Department of Environment, National climate adaptation authorities
Industry
Agri-tech companies, Agricultural cooperatives
Municipalities
Rural and agricultural municipalities
NGOs
Climate adaptation NGOs
Citizen groups
Farmers, Livestock operators, Agricultural communities

Dissemination

Publications
0
Conferences
0
Workshops
0
Media Post
0

Exploitation

Commercialization
0
Policy integration
0
IP
0
Standards
0
Spin-offs
0