Selected work

Selected work and example applications.

Green Resilience combines research, climate data, and operational insight to support practical climate-risk decisions across agriculture, industrial operations, exposed assets, and resilience programmes.

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These examples are not presented as exhaustive case studies. They illustrate how Green Resilience can be configured for different operational contexts, sectors, partners, and delivery channels.

Advisory application

Farmer advisory services through mobile channels

Green Resilience can generate practical weather-risk and agronomic recommendations that farmers receive through mobile apps, chatbots, WhatsApp, SMS, or field advisory networks.

Example

A maize farmer receives a rainfall alert 48 hours before heavy rain is expected. The advisory explains the risk of waterlogging, nutrient loss, and reduced field access, then recommends delaying fertiliser application and checking drainage paths.

What it demonstrates

Location-specific weather advisories
Crop and activity-based recommendations
WhatsApp / SMS / chatbot delivery
Partner-led dissemination
Practical farmer decision support
Responsible uncertainty handling

Agricultural operations / example application

Weather intelligence for drone spraying operations

Green Resilience can support weather-sensitive spraying operations by combining short-term forecasts, crop context, disease-risk windows, and operational thresholds into practical spray suitability guidance.

Example

A drone operator can check whether wind, humidity, rainfall risk, crop stage, and disease pressure support spraying now, require caution, or suggest delaying to the next suitable window.

What it demonstrates

Spray timing advisory
Disease-conducive weather windows
Go / caution / do not spray guidance
Wind, humidity, rainfall, and temperature thresholds
Operator and farmer confidence support
Dashboard, WhatsApp, SMS, or partner-platform delivery

Agriculture / example application

Soil moisture and irrigation decision support

Green Resilience can support irrigation decisions through satellite-based soil moisture indicators, weather forecasts, field-level context, and practical recommendations.

Example

A farm manager can identify fields showing moisture stress, compare this with forecast rainfall, and adjust irrigation timing or prioritisation accordingly.

What it demonstrates

Soil moisture monitoring
Irrigation timing support
Water-stress indicators
Field-level advisory
Low-hardware scaling
Practical farmer adoption

SaaS / decision-support application

Climate-risk dashboards for exposed operations

Green Resilience can support organisations that need to monitor climate risks across sites, assets, activities, or operational territories through dashboards, alerts, reporting, and operational windows.

What it demonstrates

Site and asset-level dashboards
Forecast and satellite monitoring
Custom thresholds
Alerting and reporting
Operational windows
Portfolio-level monitoring

Partner integration / advisory application

Advisory through partner channels

Green Resilience can generate structured climate-risk advisory outputs for delivery through partner platforms, dashboards, APIs, WhatsApp, SMS, chatbots, CRM workflows, or operational systems. This can apply to farmer-facing platforms, agribusiness advisory networks, development programmes, industrial operations teams, energy or infrastructure operators, and partner dashboards.

Example

An industrial partner could receive high-wind or heat-stress alerts inside its existing dashboard, while an agribusiness partner could push rainfall or disease-risk advisories through WhatsApp to field teams or farmers.

What it demonstrates

API-based advisory integration
Partner-led delivery
Dashboard, WhatsApp, SMS, chatbot, or system integration
Sector-specific thresholds
Role-based alerts and recommendations
Responsible uncertainty handling

Industrial operations / example application

Climate intelligence for industrial operations

Green Resilience can support mining, renewable energy, infrastructure, and heavy industry by transforming environmental data into risk scores, operational windows, alerts, and integration-ready feeds.

Mining example

A mining operation can receive heavy rainfall and access-risk alerts for haul roads, high-wind alerts for exposed operations, and heat-stress warnings for worker safety.

Renewable energy example

A renewable energy operator can use weather windows to plan maintenance, monitor wind or solar-sensitive conditions, and assess climate-related exposure of remote assets.

What it demonstrates

Site and asset-level risk scoring
HSE and operational thresholds
Maintenance and access windows
Workflow escalation
Planning and simulation inputs
Climate projection stress-testing

Decision-support / example application

Operational windows for weather-sensitive activities

Green Resilience can help organisations identify when to act, when to wait, and when to escalate by converting weather and climate signals into operational windows.

Examples

Spray windows, maintenance windows, site access windows, construction windows, safe work windows, and logistics windows.

What it demonstrates

Best execution windows
Avoid windows
Time-to-impact warnings
Threshold-based decision logic
Role-based recommendations
Evidence packs and audit trails

Programme support / example application

Climate intelligence for resilience programmes

Green Resilience can support NGOs, governments, and development programmes by turning climate-risk data into local planning tools, early warning logic, farmer advisories, and reporting outputs.

Example

A resilience programme working with farmers in a drought-prone region can use Green Resilience to monitor rainfall anomalies, issue seasonal planning messages, identify high-risk zones, and produce reports for programme teams and partners.

What it demonstrates

Early warning support
Farmer or community advisory logic
Local adaptation planning
Programme reporting
Risk evidence for decision-making
Partner-ready outputs

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