Seed Phenotyping
With spectral Imaging and Machine Learning
The molecular composition within seeds can correlate or predict genotypical and phenotypical traits. By capturing and analyzing spectral fingerprints, and through statistical correlation with observed and quantified traits, Innexo can develop specific sorting algorithms for specific traits, ranging from germination viability to sex identification, flower colour, trichome production, plant architecture and many more.
This innovation supports IP development for our clients, enabling optimized breeding, selection, and production strategies in the cannabis industry. Whether your looking to weed out hermaphrodites in feminized seed or you want to offer a line of pure, natural female seeds, Innexo is here to guide you through the next evolution of cannabis seeds and quality control.
Identification Phase
The identification Phase is designed to evaluate and select traits for developing a targeted sorting algorithm.
This phase consists of three key steps:
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Screening – with seQso data collector
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Grow-Out – Selected seeds undergo controlled cultivation to observe growth performance, resilience, and desired trait expression.
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Data Analysis – Comprehensive evaluation of collected data.
Our systematic approach ensures that only the most suitable seed traits advance to the next stages of development.
Development Phase
Development Phase focuses on refining and optimizing your proprietary sorting algorithm for desired traits. This phase also includes:
1. Screening
2. Grow-out
3. Data-analysis
Validation Phase
The validation Phase is dedicated to confirming the accuracy and reliability of your proprietary sorting algorithm for the desired traits of your cultivar.
This phase includes:
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Screening – Reassessment of selected plant varieties to validate initial predictions.
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Grow-Out – Cultivation trials to observe consistency in trait expression.
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Data Analysis – Comparative evaluation to fine-tune the algorithm and ensure reproducibility of results with enhanced accuracy.
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