Heat, drought, pest outbreaks, pine wilt, soil anomalies, windthrow — GreenerLab forecasts the risk at the exact location of your asset and pairs detection, diagnosis and prescription, giving you time to act before damage occurs.
No hardware or complex setup required — pin a site on the map and you are live. Adding a soil sensor improves precision.
Risk appears sudden, but it builds over days or weeks. That interval is the golden window to save a tree, and GreenerLab gives it back to you.
Emergence timing for fall webworm and gypsy moth is driven by temperature. Identified days ahead, an outbreak can be contained in a single treatment.
When summer heat and soil dryness coincide, foliage scorches and vigor declines rapidly. Street trees and orchards are especially exposed.
Weakened street trees that fall in high wind lead to injury, vehicle damage and liability — a significant management risk for public bodies.
Source: Korea Forest Service and National Institute of Forest Science (NIFS). Figures are indicative and updated as new data is released.
Not the forest at large, but your street tree, orchard or park at its exact point — and not one risk, but seven, managed in one place.
Public forecasts are typically issued at coarse grid or municipal level. GreenerLab pins your site on a map, distance-weights nearby observations to estimate values at that point, and — with a soil sensor added — measures N, P, K, EC, pH, moisture and soil temperature in place.
Heat, drought, pests, pine wilt, soil anomalies and disease, plus windthrow safety — no need to check multiple sources. Each risk is shown on a Normal → Watch → Caution → Alert scale, at a glance, like a traffic light.
When risk approaches, we alert you days ahead and specify the actions required at that stage. A single leaf photo lets Sentinel Vision identify the pest or disease, and TreeAiD carries it through to prescription and record.
Predictions self-calibrate as real diagnostic outcomes accumulate. The model learns on 30 years of field data and 500K diagnosis–prescription records, and we publish prediction accuracy without exception.
Not a loose set of tools. Measure the soil, recognize the pest or disease, record the diagnosis and prescription, and manage every site on one screen.
Trees deserve a medical record, too
Like a human electronic medical record, TreeAiD keeps the diagnosis, prescription and treatment history of each individual tree in one place. It runs on 600+ species, 2,000+ agents and 500K diagnosis–prescription records, and has been a commercial service since 2024.
Makes the invisible soil measurable
Installed at the root zone, it measures nine parameters — N, P, K, EC, pH, TDS, salinity, soil temperature and moisture — in real time and sends them to the cloud. Direct LTE connectivity and solar/battery power let it operate where there is no network or grid.
Diagnosis begins with a single photo
Photograph a leaf or stem and an AI trained on over a million images identifies the pest or disease, then presents a recognition card → action card → expert PDF in sequence. Edge AI lets it run on site even where there is no connectivity.
Every risk, managed on one screen
Consolidates risk across all managed sites on a map and a 3D digital twin. It supports traffic-light status, priority alerts, group notifications and API integration — the value compounds as the portfolio of managed assets grows.
A concise account of what each risk is and why it matters.
Heatwaves combined with dry soil scorch foliage and reduce vigor.
Fall webworm and gypsy moth emerge en masse on temperature cues.
A vector-borne nematode that kills pine species rapidly.
EC, pH or moisture out of range, lowering root vitality.
Canker, wilt and leaf-spot diseases spreading to leaves and stems.
Wind-weakened trees falling, causing injury and facility damage.
Sudden cold injuring frost-sensitive species such as citrus.
Additional risks can be added for your species and region.
The same heat can be safe for one species and dangerous for another, and the same soil can host different diseases depending on drainage and pH. GreenerLab alerts you against thresholds tuned to your species and its soil conditions.
Note: Thresholds and soil conditions are reference values drawn from NIFS response guidance, Korea Forest Service materials and tree-physiology literature, and are continuously calibrated through backtesting. Select your species and the remaining thresholds apply automatically.
From the arborist in the field to public agencies, delivered in the way each needs.
Diagnose from a single leaf photo and manage prescriptions and records in one place. Cut fieldwork time and improve diagnostic consistency.
See risk across many street and estate trees at a glance and prevent incidents. Supports complaint and liability risk management.
Identify risk to public tree assets in advance to prepare control and response. Data is available via API.
From European deep-tech recognition to Korean public-sector pilots and overseas commercial deployments, GreenerLab is building credibility where tree and green-asset risk actually happens: in the field.
GreenerLab’s proof points span urban trees, parks, ports, stadium turf, coffee farms and palm-tree research. This gives the platform a broader operating base than a single-purpose monitoring tool.
Each proof point is intentionally mapped to a market wedge: public green assets, high-value crops, sports turf, and international distribution.
Recognition from one of Europe’s leading startup stages provides third-party validation of GreenerLab’s climate-tech and green-infrastructure thesis.
GreenerLab was selected for a Korea Environmental Industry & Technology Institute program, supporting the company’s environmental technology and commercialization potential.
Supplied GreenerLab’s solution to one of Kenya’s major coffee-farm operators and moved beyond demonstration into commercial use.
Working with Homa Bay County on coffee-farm management and flood-damage response, linking crop productivity with climate adaptation.
Signed a distribution agreement with Malaysia-based WLB9398 Resources to expand GreenerLab’s reach across Southeast Asia.
Running joint research and field validation on palm trees with a Malaysian national university partner.
Entered a collaboration with Vanix, a physics-based agriculture deep-tech company in India, to connect field data and risk modeling.
Conducted soil and tree-environment validation in a coastal salt-stress zone at Incheon New Port.
Validated tree and green-space monitoring for park assets within the Incheon Free Economic Zone.
Operating a living-lab model in which citizens participate in monitoring urban trees and green infrastructure.
Partnered with Nuvo, a leading Korean turf-management materials and biotech company, for joint research and field validation.
Selected as a validation partner for turf management at Incheon United FC’s football-specific stadium.
GreenerLab’s prediction layer is designed to be evaluated, not merely claimed.
Register a site on the map and begin monitoring site-level risk immediately. Add soil sensors and field images when you need higher confidence, traceable diagnosis and stronger operational evidence.