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Overview
We offer a comprehensive 3D scanning and model preparation service tailored for agriculture and food applications, built on expertise developed through scanning diverse objects such as rapeseed plants, tomato seedlings, and fish. This service transforms real-world items into accurate, high-resolution 3D models, ready for use in synthetic data generation, robotics simulations, and plant phenotyping. Using tested scanning approaches—including photogrammetry with stationary or rotating cameras, DSLR, and smartphone captures—we can reliably acquire detailed image sets. Using these 3D models, your AI detection algorithms can be tested on high-quality 3D data. The data can be used to test detection algorithms, or it can be used in complete virtual environments to test robotic applications. Beyond static models, dynamic functionality can be added by assigning physics properties and enabling randomisation—altering geometry, texture, and patterns to expand dataset diversity. This allows models to be seamlessly integrated into simulation environments for testing AI, testing robotic systems, or conducting virtual experiments to test and improve the systems. Whether for research, product development, or automation, our solution delivers a scalable, future-ready platform for realistic and adaptable 3D tests.
More about the service
The service fulfils several customer needs and solves key problems in the agriculture and food sectors:
Customer needs fulfilled:
• Accurate digital representation of agricultural and food products for testing and validation to improve the reliability of detection or control of robots.
• Fast, consistent, and scalable 3D model creation without requiring in-house 3D scanning expertise.
• Synthetic data generation for testing or retraining of AI systems when real-world data is scarce, expensive, or impractical to collect.
Problems it solves:
• Eliminates the time-consuming and error-prone manual process of turning images into usable 3D models.
• Reduces costs and delays associated with acquiring large, varied datasets in the field or lab.
• Solves simulation bottlenecks by providing clean, optimised models that are immediately usable.
Essentially, it gives the opportunity to increase the quality of testing of AI algorithms or robot control by using high-quality data.
Customer needs fulfilled:
• Accurate digital representation of agricultural and food products for testing and validation to improve the reliability of detection or control of robots.
• Fast, consistent, and scalable 3D model creation without requiring in-house 3D scanning expertise.
• Synthetic data generation for testing or retraining of AI systems when real-world data is scarce, expensive, or impractical to collect.
Problems it solves:
• Eliminates the time-consuming and error-prone manual process of turning images into usable 3D models.
• Reduces costs and delays associated with acquiring large, varied datasets in the field or lab.
• Solves simulation bottlenecks by providing clean, optimised models that are immediately usable.
Essentially, it gives the opportunity to increase the quality of testing of AI algorithms or robot control by using high-quality data.
This service could be delivered through different options, depending on the customer’s preferences. Either the customer provides the products that need to be scanned, or we take care of the products.
• The customer ships or delivers the physical items (e.g., plants, seeds, produce, fish) to our facility.
• We perform the scanning, processing, and model preparation in-house.
• Finished 3D models are delivered digitally via secure download, along with any requested synthetic variations and simulation-ready formats. The available file formats are
• Unreal Engine in .fbx
• IsaacSim in .usd
• Combination of .obj (geometry) and .mtl (material)
• Textures in .png
Alternatively, we arrange for local scanning using the mobile photogrammetry setup, coordinated by our team.
• This avoids shipping delays or risks for perishable or bulky items.
• Captured data is processed at our facility or on secure cloud infrastructure before delivering the final models.
• The customer ships or delivers the physical items (e.g., plants, seeds, produce, fish) to our facility.
• We perform the scanning, processing, and model preparation in-house.
• Finished 3D models are delivered digitally via secure download, along with any requested synthetic variations and simulation-ready formats. The available file formats are
• Unreal Engine in .fbx
• IsaacSim in .usd
• Combination of .obj (geometry) and .mtl (material)
• Textures in .png
Alternatively, we arrange for local scanning using the mobile photogrammetry setup, coordinated by our team.
• This avoids shipping delays or risks for perishable or bulky items.
• Captured data is processed at our facility or on secure cloud infrastructure before delivering the final models.
The fixation of the photogrammetry setup can be customised to need. Depending on the object, modifications will take place to fix the product to ensure good scanning options.
Location
Netherlands
Remote
Type of Sector
Arable farming
Food processing
Greenhouse
Horticulture
Type of service
Collection of test data
Provision of datasets
Accepted type of products
Other
