Advanced AI platform for plot segmentation in crop phenotyping
A cutting-edge AI solution combining supervised and unsupervised learning techniques to accurately segment agricultural plots from drone imagery, enhancing phenotyping processes for ultra-scale breeding programs.
Overview
This innovative platform leverages advanced artificial intelligence techniques to enhance plot segmentation in crop phenotyping. By integrating supervised vision transformer (ViT) models with unsupervised self-organizing maps (SOM), the solution addresses challenges in segmenting plots with diverse vision features, particularly in ultra-scale breeding settings. This approach facilitates the precise division of thousands of agricultural plots using drone-collected imagery, significantly improving the efficiency and accuracy of phenotyping processes.
Technical specifications
Key features:
- Supervised Vision Transformer (ViT): Utilizes a large training dataset of wheat, rice, and barley plots to improve object recognition, particularly plot edges, under varied conditions.
- Unsupervised Self-Organizing Map (SOM): Produces a 2D representation of multi-dimensional data, capturing spectral, textural, and spatial signals to maintain topological structure.
- Parallel Computing: Enhances computational speed by combining results from both ViT and SOM, with down-sampling for efficient segmentation and up-sampling for detailed trait analysis.
- Application Flexibility: Suitable for processing 2D orthomosaic, 3D point clouds, and multi-spectral images.
Technology readiness level
This technology is currently at TRL 6, with successful demonstrations in relevant environments and ongoing development to enhance its capabilities further.
About National Institute of Agricultural Botany
NIAB is an independent research organization headquartered in Cambridge, with sites across the UK, combining applied crop research with certification, advisory, and contract R&D for industry. Companies engage through co-located labs and glasshouses, a national network of replicated field trials, and a year-round demonstration farm for evaluation and private pilots. Service units provide seed and variety testing, quality assurance, and bespoke studies, while an industry-facing incubator and flexible pilot plots help move concepts to pre-commercial validation. Research is supported by competitive UK funding, including UKRI programs, alongside contract work, and a business development and IP team manages agreements, licensing, and trial confidentiality.
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