Plant breeding for beneficial plant-microbe interactions
This area brings together trials of plant cultivation aimed at fostering beneficial interactions... View more
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AI/ML in Agriculture – This week’s hot take by Pierre Hohmann on linkedin
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AI/ML in Agriculture – This week’s hot take by Pierre Hohmann on linkedin
Exploring crop health and its associations with fungal soil microbiome composition
using machine learning applied to remote sensing data🌱 Paper: Exploring crop health and its associations with fungal soil microbiome composition using machine learning applied to remote sensing data (Communications Earth & Environment: https://lnkd.in/dU9byATg)
💡 Why it matters: Connecting satellite crop health signals with the soil fungal community helps us understand when beneficial fungi line up with healthier crops, and when pathogen-leaning communities correlate with stress. This opens doors for targeted interventions.
📊 Key result: A two-step ML workflow first adjusted satellite signals for weather and soil, then linked the remaining pattern to microbiome clusters, revealing clear associations between fungal profiles and crop health.
⚠️ Caveat: The analysis used 115 soil samples across Europe, this is an association study, not yet a farm-ready predictor.
✅ Takeaway: Use satellite data as a low-cost screen to flag fields for mycobiome sampling, then trial soil or seed treatments where the fungal profile suggests risk. And yes, fungi roc
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