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.

Abstract: The subject invention provides methods and assays for multiplexed detection of analytes using nanocrystals that are uniform in morphology, size, and composition based on their unique optical characteristics. The described methods and assays are particularly useful for detection of microbes and/or microbe-based agents in a complex environmental sample.

Abstract: The subject invention provides systems and methods 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. The subject invention utilizes a large sample set of diverse DNA sequencing input data collected from soil, plant, water and/or air samples, as well as environmental information, to determine relationships between environmental factors and the identities, quantities and distributions of microbial species, taxonomies, and/or groupings thereof, at a chosen site. Machine learning and/or artificial intelligence classifier tools use this information to generate various output data, such as, for example, recommendations for customized soil and/or crop treatment compositions, irrigation practices, and/or other agricultural activity, to enhance plant health and crop productivity at the site.

Abstract: The subject invention provides methods and assays for multiplexed detection of analytes using nanocrystals that are uniform in morphology, size, and composition based on their unique optical characteristics. The described methods and assays are particularly useful for detection of microbes and/or microbe-based agents in a complex environmental sample.