Generating agronomic inferences from extracted individual plant components

Abstract

Implementations are disclosed for analyzing extracted individual plant components to make agronomic inferences about entire composite plant organs from which the individual plant components were harvested, and for using those agronomic inferences for various purposes. In various implementations, individual plant component(s) may be sampled from multiple plant components removed from composite plant organ(s) that previously included the plant components. Digital image(s) may be captured of the sampled individual plant component(s) and processed based on machine learning model(s) to generate agronomic inference(s) about the composite plant organ(s) that previously included the plurality of plant components. Based on the agronomic inference(s), computing device(s) may render output that includes a diagnosis or recommendation for the grower about the field or the crops, and/or agricultural equipment (e.g., robots) may be operated automatically.