SPASPID
Smart Precision Agriculture for Sustainable Food Production Using IoT and AI-Based Decision Support Systems.
Agriculture faces unprecedented challenges due to climate change, resource scarcity, and the inefficiency of traditional farming practices. This project aims to develop a Smart Agriculture Platform (SAP) that integrates IoT-enabled sensor devices, AI-powered predictive analytics, and a decision support system to optimize irrigation, fertilization, and pest control practices, ultimately increasing crop yields and reducing resource waste.
By using real-time data collection and AI-based decision-making, SAP will improve the productivity, sustainability, and economic viability of farms, especially in water-scarce regions such as Egypt and Spain.
The specific objectives of the project are:
- Develop and deploy IoT-based smart sensor networks to monitor soil moisture, temperature, ambient humidity, conductivity, nutrient levels, weather conditions and crop status in various pilot farms in Egypt and Spain.
- Develop AI-based predictive analytics models for precision irrigation and fertilization practices, with the aim of reducing water consumption and fertilizer use, while maintaining or increasing crop yields.
- Design a bilingual, AI-based Decision Support System (DSS) accessible via mobile and web applications and geared towards farmers, providing farm-specific recommendations in real time, facilitating efficient management by farmers and agronomists.
- Conduct large-scale field trials and assess their impact over two growing seasons, carrying out evaluations to validate the effectiveness of the system, with the aim of increasing the profitability of farms and reducing their environmental footprint compared to traditional practices.
- To ensure the scalability and resilience of the system through blockchain-based security mechanisms, cloud data storage, and AI-based automation, so that the platform is profitable, accessible, and sustainable for small and medium-sized farmers.
- Evaluate the economic and environmental impacts to demonstrate an increase in the profitability of agricultural holdings and a reduction in the carbon footprint associated with agricultural inputs.
- Develop training and outreach programs through workshops, webinars and open source tools, training more than 100 users and involving stakeholders from public administrations, academia and the agricultural sector.
The SPASPID project is co-funded by the Center for Technological Development and Innovation (CDTI) through the INNOGLOBAL 2025 call for proposals (File Number: INNO-20251020) and Egypt’s Science, Technology & Innovation Funding Authority (STDF) under the ESIP Bilateral Program (Call 9).
More information at: https://spaspid.odins.es/
