Use of soil and other environmental data to recommend customized agronomic programs
Abstract:
Systems and methods are provided for classifying a microbiome at a geographic site where agricultural activity is, or will be, conducted in order to improve and/or promote agricultural productivity at the site. Machine learning and/or artificial intelligence classifier tools use DNA sequencing input data and environmental information to generate recommendations for customized soil and/or crop treatment compositions, irrigation practices, and/or other agricultural activity, to enhance plant health and crop productivity.
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