Digital twin model for optimizing wheat photosynthetic and nitrogen use efficiency
A digital twin platform integrating drone-based canopy phenotyping, multi-omics data, and graph models to predict and optimize nitrogen use efficiency (NUE) in wheat varieties across varying nitrogen regimes and field en...
Hyperspectral sensing for detecting pesticide residues on crops
UAV-based hyperspectral imaging combined with machine learning to rapidly detect and differentiate foliage with and without pesticide residues, enabling non-destructive crop monitoring and improved pesticide management i...
Ai-based automated plot grid generation from UAV imagery
This solution leverages AI, machine learning, and deep learning to automate the generation of plot grids from UAV imagery, enhancing accuracy and efficiency in agricultural trials across various crop types.
2-arm robotic system for automated plant tissue sampling (2roses)
Introducing 2Roses, an advanced robotic system featuring two arms for automated plant tissue sampling in greenhouses. Integrating a Global Sensing and Navigation module, it uses deep learning for precise sampling, enhanc...
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