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Method to Predict, Evaluate and Map Soil Microbial Function for Broad Geographical Regions using Omics and Machine Learning
This invention is a method for predicting and geographically mapping the functional composition of soil microbial communities across a large geographical area and with diverse environments using machine learning. The resulting information is relevant to evaluating soil carbon, nitrogen, and phosphorus cycling.
Background:
Microbial-mediated soil organic...
Published: 5/13/2024
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Inventor(s): Yang Song, Changpeng Fan
Keywords(s):
Category(s): Technology Classifications > Agriculture & Horticulture > Crop Improvement, Technology Classifications > Energy, Cleantech & Environmental > Renewable Energy > Biofuels, Technology Classifications > Software & Information Technology > Bioinformatics, Technology Classifications > Software & Information Technology > Databases & Data Mining
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