SymbIoTic Vines: Integrating Forest Wisdom and AI for Resilient Viticulture Ecosystems
Summary
SymbIoTic Vines proposes an intelligent, low-impact monitoring and analytics framework designed to quantify and enhance the environmental and agronomic benefits of alternating vineyards with forest ecosystems.
We believe that meaningful decisions in climate-resilient viticulture require not just data — but relevant, contextualized insights. This solution aims to bridge the gap from data to actionable knowledge, enabling producers to understand how forest proximity influences soil health, microclimate stability, disease resilience and biodiversity.
Our approach combines field-deployed sensors in both conventional and forest-adjacent vineyard plots, collecting comparable datasets on soil, air, and vegetation dynamics. These data streams feed into a centralized platform powered by advanced analytics, machine learning models, and interactive BI dashboards, facilitating visual exploration, longitudinal analysis, and hypothesis testing.
The system is designed to be non-invasive, scalable, and respectful of the landscape — enhancing, not replacing, the intuitive knowledge of local growers. It also incorporates training and capacity-building components, ensuring that stakeholders can interpret and act on the insights generated.
In doing so, SymbIoTic Vines supports a new model of evidence-based agroecology, capable of adapting to other Mediterranean viticultural contexts facing similar climate and biodiversity challenges.
We believe that meaningful decisions in climate-resilient viticulture require not just data — but relevant, contextualized insights. This solution aims to bridge the gap from data to actionable knowledge, enabling producers to understand how forest proximity influences soil health, microclimate stability, disease resilience and biodiversity.
Our approach combines field-deployed sensors in both conventional and forest-adjacent vineyard plots, collecting comparable datasets on soil, air, and vegetation dynamics. These data streams feed into a centralized platform powered by advanced analytics, machine learning models, and interactive BI dashboards, facilitating visual exploration, longitudinal analysis, and hypothesis testing.
The system is designed to be non-invasive, scalable, and respectful of the landscape — enhancing, not replacing, the intuitive knowledge of local growers. It also incorporates training and capacity-building components, ensuring that stakeholders can interpret and act on the insights generated.
In doing so, SymbIoTic Vines supports a new model of evidence-based agroecology, capable of adapting to other Mediterranean viticultural contexts facing similar climate and biodiversity challenges.
Foreseen impact
The implementation of SymbIoTic Vines is expected to generate measurable, scalable, and transferable impacts in four key dimensions: technical performance, operational decision-making, cultural integration, and environmental sustainability.
Technical and environmental impact
The system will provide continuous, high-resolution data to quantify the environmental advantages of integrating vineyards with surrounding forests. Through advanced sensorization and data analytics, the project will enable:
Validation of microclimate differences between forest-edge and conventional plots.
Improved soil moisture management and irrigation efficiency.
Anticipation of abiotic and biotic stress through environmental anomaly detection.
Quantification of biodiversity indicators linked to viticultural resilience.
Key performance indicators (KPIs):
Variation in soil moisture retention (%) between monitored plot types.
Reduction in irrigation volume (m³/ha/season) based on predictive soil data.
Frequency of extreme temperature events (>35°C or <0°C) mitigated near forest borders.
Biodiversity presence index (species richness of insects, birds) across zones.
Incidence rate of disease or pest outbreaks (% reduction year-on-year).
Carbon flux estimates associated with forest-vineyard interface (CO₂ eq/ha).
Operational and strategic impact
The solution supports a paradigm shift from intuition-based to data-driven viticulture, equipping managers with tools to plan and respond more precisely to environmental conditions. It will improve operational readiness, optimize resource use, and reduce risks associated with climate variability.
Improved situational awareness via dashboards and alerts.
Faster response time to environmental anomalies (time-to-action metrics).
Uptake of digital viticulture practices by non-technical staff (training hours and adoption rate).
Integration capability with existing management tools (API utilization and data export KPIs).
Cultural and organizational impact
SymbIoTic Vines is designed to align with Arrighi Winery’s values of innovation, environmental respect, and cultural heritage. The project enhances, rather than disrupts, the traditional knowledge and work processes of the estate.
Engagement of vineyard workers through tailored training programs and participatory deployment.
Preservation of vineyard landscape integrity through non-invasive hardware installation (zero ground cabling).
Reinforcement of Arrighi’s institutional narrative as a pioneer in organic and sustainable viticulture.
Replicability and policy alignment
This pilot will serve as a demonstrator for broader Euro-Mediterranean adoption, especially in viticultural areas with forest adjacency and climate exposure. Its outcomes will be relevant for agricultural innovation policy, biodiversity frameworks, and carbon accounting methodologies.
Number of replicable modules documented for deployment in other vineyards.
Scalability potential based on modular architecture and open standards.
Alignment with EU Green Deal, Biodiversity Strategy, and Climate Adaptation policies.
Technical and environmental impact
The system will provide continuous, high-resolution data to quantify the environmental advantages of integrating vineyards with surrounding forests. Through advanced sensorization and data analytics, the project will enable:
Validation of microclimate differences between forest-edge and conventional plots.
Improved soil moisture management and irrigation efficiency.
Anticipation of abiotic and biotic stress through environmental anomaly detection.
Quantification of biodiversity indicators linked to viticultural resilience.
Key performance indicators (KPIs):
Variation in soil moisture retention (%) between monitored plot types.
Reduction in irrigation volume (m³/ha/season) based on predictive soil data.
Frequency of extreme temperature events (>35°C or <0°C) mitigated near forest borders.
Biodiversity presence index (species richness of insects, birds) across zones.
Incidence rate of disease or pest outbreaks (% reduction year-on-year).
Carbon flux estimates associated with forest-vineyard interface (CO₂ eq/ha).
Operational and strategic impact
The solution supports a paradigm shift from intuition-based to data-driven viticulture, equipping managers with tools to plan and respond more precisely to environmental conditions. It will improve operational readiness, optimize resource use, and reduce risks associated with climate variability.
Improved situational awareness via dashboards and alerts.
Faster response time to environmental anomalies (time-to-action metrics).
Uptake of digital viticulture practices by non-technical staff (training hours and adoption rate).
Integration capability with existing management tools (API utilization and data export KPIs).
Cultural and organizational impact
SymbIoTic Vines is designed to align with Arrighi Winery’s values of innovation, environmental respect, and cultural heritage. The project enhances, rather than disrupts, the traditional knowledge and work processes of the estate.
Engagement of vineyard workers through tailored training programs and participatory deployment.
Preservation of vineyard landscape integrity through non-invasive hardware installation (zero ground cabling).
Reinforcement of Arrighi’s institutional narrative as a pioneer in organic and sustainable viticulture.
Replicability and policy alignment
This pilot will serve as a demonstrator for broader Euro-Mediterranean adoption, especially in viticultural areas with forest adjacency and climate exposure. Its outcomes will be relevant for agricultural innovation policy, biodiversity frameworks, and carbon accounting methodologies.
Number of replicable modules documented for deployment in other vineyards.
Scalability potential based on modular architecture and open standards.
Alignment with EU Green Deal, Biodiversity Strategy, and Climate Adaptation policies.
About the solver
Integra Estrategia y Tecnología is a Spanish consultancy group with nearly 40 years of experience in digital transformation, specializing in the convergence of data, technology, and sustainability. Through its dedicated Data + AI + IoT division, Integra has deployed advanced monitoring and analytics systems across agricultural and environmental contexts, with a strong focus on viticulture and precision farming.
In recent years, Integra has partnered with some of Spain’s leading wine producers to implement smart vineyard solutions, including:
Deployment of IoT networks across vineyards, enabling real-time monitoring of soil conditions, climate dynamics, and disease risk factors.
Design of custom dashboards and BI platforms to facilitate agronomic decision-making based on historical and real-time data.
Development of Machine Learning models to predict the onset of diseases such as mildew and botrytis, using environmental and phenological data collected from in-field sensors.
This experience provides Integra with a deep understanding of the challenges faced by modern wineries—particularly those adopting organic and sustainable practices—and the ability to design non-invasive, data-driven tools that enhance resilience, optimize inputs, and preserve ecosystem integrity.
Integra also operates its own Technology School and collaborates with universities and research centers to promote digital skills, agricultural innovation, and capacity-building among field technicians and operational managers.
Its work is supported by strategic partnerships with global technology leaders including Microsoft, IBM, and Fortinet, enabling access to scalable infrastructure, cybersecurity standards, and cloud-native analytics frameworks.
With operations in over 25 countries, Integra offers the ability to scale pilot projects into broader territorial deployments, always respecting the cultural, environmental, and institutional context of each initiative.
More information: www.integratecnologia.es
In recent years, Integra has partnered with some of Spain’s leading wine producers to implement smart vineyard solutions, including:
Deployment of IoT networks across vineyards, enabling real-time monitoring of soil conditions, climate dynamics, and disease risk factors.
Design of custom dashboards and BI platforms to facilitate agronomic decision-making based on historical and real-time data.
Development of Machine Learning models to predict the onset of diseases such as mildew and botrytis, using environmental and phenological data collected from in-field sensors.
This experience provides Integra with a deep understanding of the challenges faced by modern wineries—particularly those adopting organic and sustainable practices—and the ability to design non-invasive, data-driven tools that enhance resilience, optimize inputs, and preserve ecosystem integrity.
Integra also operates its own Technology School and collaborates with universities and research centers to promote digital skills, agricultural innovation, and capacity-building among field technicians and operational managers.
Its work is supported by strategic partnerships with global technology leaders including Microsoft, IBM, and Fortinet, enabling access to scalable infrastructure, cybersecurity standards, and cloud-native analytics frameworks.
With operations in over 25 countries, Integra offers the ability to scale pilot projects into broader territorial deployments, always respecting the cultural, environmental, and institutional context of each initiative.
More information: www.integratecnologia.es
Indicative budget/Phases
A. IoT pilot deployment and data collection
Timeline: Months 0–6
Scope:
Hardware and infrastructure
• Procurement and installation of IoT sensors across two vineyard plots (traditional and forest-adjacent), including soil, air, and climate monitoring devices
• Solar-powered LoRaWAN gateways with autonomous battery systems for wireless data transmission
• Network setup, device calibration, and environmental compliance
Estimated hardware cost: 25.100 €
Services
• Site analysis and sensor network design for targeted data collection
• Installation and configuration of devices
• Initial data acquisition and quality control
• Maintenance and troubleshooting during pilot phase
Estimated services cost: 35.250 €
Total estimated cost for pilot deployment: 60.350 €
________________________________________
B. Data platform development, analytics and machine learning
Timeline: Months 2–6
Scope:
• Design and implementation of centralized data platform for ingestion, storage, and processing
• Development of business intelligence dashboards customized for different users
• Machine learning model creation for pattern recognition, disease prediction, and microclimate analysis
• Integration of historical climatic and viticultural data
• Validation and iterative refinement of algorithms based on pilot data
Estimated cost: 41.680 €
________________________________________
C. Training, knowledge transfer and stakeholder engagement
Timeline: Months 4–6
Scope:
• Training workshops for vineyard managers, technicians, and operational staff
• Production of user manuals, interpretation guides, and reporting templates
• Collaborative sessions for data-driven decision-making and system adoption
• Communication activities to raise awareness of agroecological benefits and digital literacy
Estimated cost: 9.980 €
________________________________________
Total indicative budget (pilot only): 112.010 €
This budget includes all necessary components for a robust and low-impact implementation of SymbIoTic Vines, combining technology, environmental intelligence, and stakeholder capacity-building. Future scalability to additional plots or vineyards will be modular and proportional to the monitored area and data layers required.
Timeline: Months 0–6
Scope:
Hardware and infrastructure
• Procurement and installation of IoT sensors across two vineyard plots (traditional and forest-adjacent), including soil, air, and climate monitoring devices
• Solar-powered LoRaWAN gateways with autonomous battery systems for wireless data transmission
• Network setup, device calibration, and environmental compliance
Estimated hardware cost: 25.100 €
Services
• Site analysis and sensor network design for targeted data collection
• Installation and configuration of devices
• Initial data acquisition and quality control
• Maintenance and troubleshooting during pilot phase
Estimated services cost: 35.250 €
Total estimated cost for pilot deployment: 60.350 €
________________________________________
B. Data platform development, analytics and machine learning
Timeline: Months 2–6
Scope:
• Design and implementation of centralized data platform for ingestion, storage, and processing
• Development of business intelligence dashboards customized for different users
• Machine learning model creation for pattern recognition, disease prediction, and microclimate analysis
• Integration of historical climatic and viticultural data
• Validation and iterative refinement of algorithms based on pilot data
Estimated cost: 41.680 €
________________________________________
C. Training, knowledge transfer and stakeholder engagement
Timeline: Months 4–6
Scope:
• Training workshops for vineyard managers, technicians, and operational staff
• Production of user manuals, interpretation guides, and reporting templates
• Collaborative sessions for data-driven decision-making and system adoption
• Communication activities to raise awareness of agroecological benefits and digital literacy
Estimated cost: 9.980 €
________________________________________
Total indicative budget (pilot only): 112.010 €
This budget includes all necessary components for a robust and low-impact implementation of SymbIoTic Vines, combining technology, environmental intelligence, and stakeholder capacity-building. Future scalability to additional plots or vineyards will be modular and proportional to the monitored area and data layers required.