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The Future of Phenotyping Research:
Biotic & Abiotic Environment Experiment-site Plot Plant Organ The Future of Phenotyping Research: Connecting genotype to phenotype at all scales. Rapid Phenotyping Working Group Adapted from Gutierrez and Maere, (2014) Trends in Plant Science 19:5 TOOLS MODELS 1
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Prof. Margaret Frank, Cornell
Dani Martinez, Cornell Margaret Krause, Cornell
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Goal: automated vegetable crop grafter
Inefficient Unreliable Ungrafted Grafted
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High-Throughput Automated Phenotyping System for Powdery Mildew Analysis
Affordable system for efficient phenotyping based on visual feature quantification from 1 cm2 biological samples. Image acquisition: Robotic stage to center samples and adjust focus. UHR (46MP) images: Each pixel represents 1.44 µm2. Focused images via image stacking from computed focal planes. More than 1000 samples imaged per workday by using a single robot. Image analysis: Machine Learning procedures for detection of 6 μm wide fungal hyphae. Quantifies Powdery mildew infection with a 91.7% correlation with human experts. Disease progress: 2 days 4 days 6 days 9 days
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Better yields FASTER and CHEAPER
Plant breeders have limited resources: Land Labor Time $$$ Seed Solution: Predicting crop yields with UAVs Fly UAV and capture images Extract data from images Predict yield and make selections Margaret Krause, PhD Candidate, Plant Breeding
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