Vineyard flight · NeoScout footage
Vineyard Intelligence by NeoScout
Vineyard drone mapping and digital documentation
From a parcel view to a fieldwork plan.
Bring maps, 3D models and source photographs together with observations, tasks and reports. Available data defines the analysis scope; items requiring a field check remain clearly marked for verification.
- Parcel mapping
- 3D digital twins
- Geometry and measurement
- Repeat data campaigns
NeoScout field work
Real data from the field.
Two acquisition scales: the terraced vineyard landscape in Wachau and detailed documentation of rows and vines in Burgundy.
Wachau / Austria
Steep vineyards. Full terrain context.
On steep vineyard sites, a conventional top-down image does not describe the full geometry. Terrain reconstruction preserves slope, terraces, access routes, vineyard rows and their elevation relationships.
Burgundy / France
From parcel scale to individual vine detail.
In Burgundy we also worked at low acquisition heights, recording vineyard rows and individual vine structure at high spatial detail. The resulting dataset can support 3D reconstruction, measurements, infrastructure documentation and future repeat surveys.
3D models
NeoScout photogrammetric reconstructions.
Four real NeoScout photogrammetric reconstructions from Burgundy, presented without parcel names.
Thumbnail not released
Burgundy, France
Model 01
A parcel model built from image data as a technical record of vineyard terrain and structure.
The matching preview needs the material owner’s approval. An image of another parcel is not used as a substitute.
Thumbnail not released
Burgundy, France
Model 02
A parcel model built from image data as a technical record of vineyard terrain and structure.
The matching preview needs the material owner’s approval. An image of another parcel is not used as a substitute.
Thumbnail not released
Burgundy, France
Model 03
A parcel model built from image data as a technical record of vineyard terrain and structure.
The matching preview needs the material owner’s approval. An image of another parcel is not used as a substitute.
Thumbnail not released
Burgundy, France
Model 04
A parcel model built from image data as a technical record of vineyard terrain and structure.
The matching preview needs the material owner’s approval. An image of another parcel is not used as a substitute.
Vineyard Intelligence / Client portal
See the place. Open the detail. Plan a field check.
Try the workspace yourself. Select a marker, review its image, change an example status and see it in the report.
Public demo · no sign-in · illustrative records, not analytical findings. Light and dark appearances, with a rotatable 3D fragment. Full models are shown individually.
Try the client portalVineyard Intelligence / report
From vineyard imagery to places worth checking.
The map and model provide context. The report organises observations, their evidence and next steps for the vineyard team.
01 / Evidence
Every observation has an evidence trail
- Evidence photograph
- Actual photograph capture date
- Location and observation description
- Review and field verification status
A canopy gap does not confirm a missing vine. Initial AI suggestions require human review and a vineyard visit. Dense vegetation can prevent individual vines from being distinguished.
Parcel context
Mapping, terrain, row layout and the available spatial documentation.
Observations for review
Potential row gaps and selected areas around terraces, walls and access routes — subject to data quality and the agreed scope.
A package for fieldwork
PDF report, observation register and field checklist. Map and layer formats are agreed for each estate.
Method / AI + human review + fieldwork
From flight to vineyard verification.
Every observation retains an evidence photograph, actual date and status. AI helps select areas for review; confirmation requires a field check. Potential row-gap analysis is in pilot validation — no performance figures are published yet.
- 01Matrice 4D
Capture with a purpose
We agree the parcel, objective and acquisition conditions, preserving original images and capture dates.
- 02Terra / QA
Check data quality
We review imagery, reconstruction and exports for coverage, sharpness, geometry and processing limitations.
- 03AI / Pilot
Initial suggestions
We identify potentially relevant areas. Each suggestion is a hypothesis for review, with photographic evidence.
- 04Detail
Human review and correction
An operator checks context, corrects suggestions and records decisions. Demo points are kept separate from analysis findings.
- 05Field check
Verify in the vineyard
The field team inspects the location and updates its status. Only this step can confirm a missing vine.
Vineyard Intelligence by NeoScout
Technology grounded in vineyard work.
Mateusz, the NeoScout founder, has experience as a sommelier and in the wine industry. This gives the specialisation a practical context. We combine it with aerial documentation and data quality checks. Agronomic interpretation and cultivation decisions remain with the appropriate specialists.
About NeoScout ↗Data layers
From core geometry to an operational record.
The availability of each layer depends on scope, source-data quality and the agreed processing method.
- 01Baseline output
3D model
A spatial reconstruction of the parcel and its context.
- 02Baseline output
Orthomosaic
A calibrated top-down view for review and documentation.
- 03Baseline output
Terrain and elevation
Landform and elevation relationships derived from the model.
- 04Project scope
Vine rows
Vectorised row structure within the agreed project scope.
- 05Project scope
Individual vines
An object record where resolution and conditions allow.
- 06Project scope
Potential row gaps
An observation layer for field review, not an automated diagnosis.
- 07Project scope
Trellis, posts and walls
Selected structural elements recorded to the project brief.
- 08Project scope
Infrastructure
Roads, boundaries and assets relevant to parcel management.
- 09Baseline output
Measurements
Agreed lengths, areas and spatial relationships.
- 10Baseline output
Survey history
Repeatable capture with dated datasets kept as distinct records.
- 11Project scope
Season-to-season comparison
Change analysis requires comparable conditions and a separately agreed method.
A record through time
Each survey adds a chapter — it does not replace the last.
A repeatable data structure enables comparison between seasonal campaigns. Specific conclusions require an agreed method and comparable capture conditions.
- Survey 01
Full canopy and fruit
The parcel recorded during a developed stage of the season.
- Survey 02
Post-harvest or post-pruning
A second record of geometry and visible parcel elements.
- Survey 03
Next season
A new campaign preserved alongside earlier datasets.
Comparison between campaigns requires a consistent method, capture conditions and analysis scope.
Practical value
Shared context for field decisions.
Condition documentation
A legible spatial record of the parcel at a specific moment.
Measurement and planning
One geometric basis for discussing the scope of work.
Collaboration
Visual context that is easier to share with teams and partners.
Data continuity
Successive campaigns organised as a history, not loose files.
Explore the detail
Request a sample report.
Tell us your name, email, estate and country. We will review your request and reply with an example of how observations are documented. You can also describe your parcel or survey objective.
A short Notion form opens in a new tab. No Notion account is needed. Reports are shared after contact; full models are presented individually.
Marketing consent is optional and is not required to request a report. We send promotional emails only after a separate opt-in in the form.
How we use your data ↓Request data and contact
The controller is MATEUSZ HERÓD, trading as NeoScout, ul. Przemysłowa 14/3, 13-230 Lidzbark, Poland. For privacy enquiries and rights requests: info@neoscout.pl.
Your name, email, estate, country and any optional message are used to respond to your report request and related correspondence. Legal basis: GDPR Art. 6(1)(f), our legitimate interest in answering a voluntary enquiry. Providing data is voluntary; we cannot email a report without an email address.
Email marketing requires separate consent under GDPR Art. 6(1)(a), including consent to this communication channel. You can withdraw at any time at info@neoscout.pl without affecting the lawfulness of earlier processing.
Requests are stored in a private Notion database. Access is limited to authorised staff handling enquiries and service providers acting on our behalf, including Notion and our email provider. Requests are not published. Notion may process data outside the EEA; its data processing agreement provides transfer mechanisms including standard contractual clauses. Contact the controller for information about safeguards.
Enquiries that do not lead to further cooperation are retained for up to 12 months after the last correspondence. Marketing data is kept until consent is withdrawn or that purpose ends. Relevant records may be retained for cooperation, legal obligations or claims for the applicable period. The controller reviews and deletes records.
You may request access, rectification, erasure, restriction, object to processing based on legitimate interests and, where applicable under GDPR, data portability. You may complain to the Polish supervisory authority, the President of UODO. We do not use this form for automated decisions or profiling.
Notice effective from 2026-10-21.
Start with the parcel
Let’s build a useful spatial record of your vineyard.
We will define the objective, required level of detail, capture conditions and the right format for the outputs.