Vineland Research and Innovation Centre
Explore Vineland Research and Innovation Centre's available technologies.
Cis-eQTL mapping for promoter variant identification in tomato
Utilize an eight-parent tomato MAGIC population to map cis-eQTL and identify promoter polymorphisms affecting gene expression. This research employs RNA-seq and functional validation to advance predictive models for gene...
Data-driven mutation frequency optimization for rice using Deep Variant Scanning
Enhance rice mutagenesis protocols by integrating Deep Variant Scanning (DVS) to increase mutation frequency while maintaining plant viability. The approach combines sequence-based mutation load estimates with phenotypic...
Accelerating flowering in canola via gene and promoter editing
Vineland Research and Innovation Centre offers a contracted service to accelerate canola flowering through targeted gene and promoter editing using CRISPR. This solution leverages flowering-time regulators from Arabidops...
Vision-based solution for automated open-field plot grid creation
A vision-based solution that automates the creation of plot grids in open fields using computer vision and generative AI. It integrates with UAV processing tools for seamless data analysis, improving accuracy and efficie...
Crop agnostic motion tracking and vision software for greenhouse monitoring
Real-time greenhouse monitoring software using any camera for data-driven decision making. Employs machine learning for plant status analysis, motion tracking, and alerts on anomalies. Web-based, customizable interface s...
Automated seed sorting with indexed carousel and machine vision
A cutting-edge seed sorting system using an indexed carousel, machine vision with CNN, and automated segregation. Optimized for maize and adaptable for various crops, this system enhances sorting accuracy and speed, aimi...
Digital twin and AI optimization for water allocation to improve economic outcomes and reduce irrigation in maize production
A digital twin and AI approach that optimizes water allocation and irrigation strategies for maize. It combines the DSSAT CERES maize crop model with an economic model to simulate how different water strategies affect yi...
Contamination-free autonomous robotic plant tissue sampling
An advanced autonomous robotic system designed for contamination-free plant tissue sampling using precision vision and motion control. This solution integrates a customized sampling tool and vision system for accurate pl...
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