Abstract: In various embodiments, an analytics system determines nucleic acid sequence reads of genetic material in a soil sample from a geographical location. The analytics system determines a first set of measures of a plurality of gene functions represented in the nucleic acid sequence reads. The analytics system determines a second set of measures of a plurality of metabolic pathways of microorganisms present in soil at the geographical location. The analytics system determines a third set of measures of a plurality of soil health indicators of the soil at the geographical location, the plurality of soil health indicators including a plurality of levels of granularity. The analytics system determines a measure of an agronomic attribute of the soil at the geographical location as a function of the first, second, and third sets of measures.

Abstract: An analytics system uses metagenomics to generate predictions indicating performance of biological or physical samples. In an embodiment, a method includes determining sequence data of a soil sample. The method further includes determining a plurality of features of the soil sample using the sequence data. The plurality of features is determined based at least in part on a measure of a first microbe detected in the soil sample and a different measure of a second microbe detected in the soil sample. The method further includes inputting the plurality of features to a model trained using measures of the first microbe and the second microbe detected in a plurality of soil samples. The method further includes generating, by the model using the plurality of features, a prediction of physical attribute of a plant grown in the soil sample.

Abstract: In various embodiments, an analytics system determines nucleic acid sequence reads of genetic material in a soil sample from a geographical location. The analytics system determines a first set of measures of a plurality of gene functions represented in the nucleic acid sequence reads. The analytics system determines a second set of measures of a plurality of metabolic pathways of microorganisms present in soil at the geographical location. The analytics system determines a third set of measures of a plurality of soil health indicators of the soil at the geographical location, the plurality of soil health indicators including a plurality of levels of granularity. The analytics system determines a measure of an agronomic attribute of the soil at the geographical location as a function of the first, second, and third sets of measures.

Abstract: In various embodiments of an analytics system, a spike-in including synthetic constructs of nucleic acid is added to soil samples for processing. The analytics system determines sequence reads classified to a microbe in the soil sample. The analytics system determines one or more measures of soil texture of the soil sample, for example, indicating percentages of sand, silt, and clay. The analytics system determines a measure of the microbe as a function of at least the classified sequence reads, the one or more measures of soil texture, and a mass of the spike-in. The analytics system can transmit the measure of the microbe to a client device for display on a user interface. A field where the soil sample was obtained can be treated according to the measure of the microbe.

Abstract: In various embodiments, an analytics system determines nucleic acid sequence reads of genetic material in a soil sample from a geographical location. The analytics system determines a first set of measures of a plurality of gene functions represented in the nucleic acid sequence reads. The analytics system determines a second set of measures of a plurality of metabolic pathways of microorganisms present in soil at the geographical location. The analytics system determines a third set of measures of a plurality of soil health indicators of the soil at the geographical location, the plurality of soil health indicators including a plurality of levels of granularity. The analytics system determines a measure of an agronomic attribute of the soil at the geographical location as a function of the first, second, and third sets of measures.

Abstract: An analytics system uses metagenomics to generate predictions indicating performance of biological or physical samples. In an embodiment, a method includes determining sequence data of a soil sample. The method further includes determining a plurality of features of the soil sample using the sequence data. The plurality of features is determined based at least in part on a measure of a first microbe detected in the soil sample and a different measure of a second microbe detected in the soil sample. The method further includes inputting the plurality of features to a model trained using measures of the first microbe and the second microbe detected in a plurality of soil samples. The method further includes generating, by the model using the plurality of features, a prediction of physical attribute of a plant grown in the soil sample.