ALIVA
Service Design for Climate Resilience
ALIVA is a strategic service design project developed to mitigate the devastating effects of drought on Sicilian olive groves. By monitoring physiological sap flow signals, the system provides farmers with adaptive pruning strategies, bridging the gap between agronomic theory and traditional field practice.
Credits ↓
- My Role: Service Design & Branding
- Service Design: Wuriandita Wahyumurti Candra, Alessandro Moneta
- Product Prototype: Despoina Hadjiyanni, Josefina Bustos Guirao
- App UX/UI Design: Lara Bosani
- Lab: Innovation Studio, PSSD, Politecnico di Milano
The Challenge
Translating physiological olive tree signals into water-saving strategies.
How can we enable small olive growers to make informed pruning decisions to improve climate resilience?
Expected Impact
Liters of water saved per hectare/year
Reduction in crop loss risk
01. Discovery
The collapse of traditional agriculture.
Sicily has lost 30% of its water availability in recent years. Although strategic pruning can increase water efficiency by 10-25%, small farmers lack the tools to decide when to intervene without risk.
02. Strategy
A layered ecosystem, not just an app.
ALIVA is a layered service system integrating cooperatives, agronomists, and institutions. It doesn't just provide data; it builds trust through training and constant support.
System Map
The system map visualizes the project's logic, illustrating how on-field data, digital processing, and expert human intervention interact to create a resilient service infrastructure.
Offering Map
The offering is structured into core services (decision support), secondary (continuous monitoring), and enabling services (on-field training to bridge the technological gap).
Stakeholder Map
Identifying the key actors within the ecosystem, from farmers and cooperatives to institutional and operational partners.
03. User Personas
Guido (Small-scale)
"I need to build confidence and learn how to prune independently under climate stress."
The need for clear, practical guidelines that translate intuition and personal observation into accessible technical analysis, reducing the fear of damaging trees due to climate variability.
Marta (Medium-scale)
"I need to optimize my production through a hybrid approach of smart data and expert validation."
The need for reliable data interpretation to manage plots with varying conditions, seeking a balance between decision-making autonomy and specialized alerts for the most critical pruning phases.
Domenico (Large-scale)
"I need to maximize efficiency and mitigate financial risks through full-service management."
The need for scalable, "turnkey" solutions that include continuous monitoring and expert team intervention, allowing for the full delegation of pruning strategy to focus on business growth.
04. The PSSD System
Hardware as a Touchpoint.
The sap flow sensor is the tool that enables the strategy. We designed a modular solution using Velcro to adapt to different trunks, ensuring ease of installation for non-tech experts without harming the tree.
- Modular design
- Velcro strap installation
- Weather-proof casing
App as a Guide.
The interface transforms complex physiological data (evapotranspiration, sap flow) into a simple "Pruning Calendar" and practical tutorials. Data becomes actionable knowledge.
Simplified Decision Support
Converting sensor graphs into easy-to-follow agricultural tasks.
Backstage
Documenting the process, the team, and the making of Aliva.