Digital modeling of disease on crops on agronomics fields

Abstract

A system and method for identifying a probability of disease affecting a crop based on data received over a network is described herein, and may be implemented using computers for providing improvements in plant pathology, plant pest control, agriculture, or agricultural management. In an embodiment, a server computer receives environmental risk data, crop data, and crop management data relating to one or more crops on a field. Agricultural intelligence computer system 130 computes one or more crop risk factors based, at least in part, the crop data, one or more environmental risk factors based, at least in part, the environmental data, and one or more crop management risk factors based, at least in part, on the crop management data. Using a digital model of disease probability, agricultural intelligence computer system 130 computes a probability of onset of a particular disease for the one or more crops on the field based, at least in part, on the one or more crop risk factors, the one or more environmental risk factors, and the one or more crop management factors.

Description

[0001] Copyright Notice [0002] Portions of the disclosure of this patent document contain material that is protected by copyright. The copyright owner has no objection to the reproduction of any patent document or patent disclosure as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all copyright or rights. The Climate Corporation. technical field [0003] The present disclosure relates to digital modeling of agronomic fields using server computers, using programmed processes to provide technical improvements in plant pathology, plant pest control, agriculture or agricultural management. Specifically, the present disclosure relates to modeling the likelihood of a particular disease being present on a field based on field data, and then using the resulting data model to improve plant pathology, plant pest control, agriculture, or agricultural management. Background technique [0004] The approaches described in this section a...

AI Technical Summary

Problems solved by technology

Applying fungicides to fields not at risk of being affected by disease can be wasteful, costing field managers a portion of their gross income from crop sales

[0008] Often, field managers have no good way of determining whether a field is currently or will be affected by a disease

Field managers maintaining hundreds of acres of crops may not have the ability to manually check each crop for signs of disease

Additionally, field managers cannot determine when (if at all) disease may be present on crops

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