US 2019/0171880 A1 · AUTOMATED DIAGNOSIS AND TREATMENT OF CROP INFESTATIONS

Abstract

Disclosed are various embodiments for automating the diagnosis of crop infestations and estimating crop yields. In some embodiments, a field report that includes an image of a crop and a location of a corresponding field is received from a computing device. The image of the crop is processed using computer-vision techniques to identify a pathogen affecting the crop. A biocide to apply to the crop to treat the pathogen is then identified. In some embodiments, the yield of the crop can also be estimated. In such embodiments, a field report that includes images of plants in a field and an identifier of the field is received. A computer-vision technique is applied to each image to determine an individual yield of each plant in an image. An estimate of the yield of the crop is then calculated based on the individual yields of the plants and the size of the field.

Claims18

Dependent claims

A system, comprising:

a first computing device comprising a processor and a memory;
and
machine readable instructions stored in the memory that, when executed by the processor, cause the first computing device to at least:
receive a field report from a second computing device, the field report comprising a plurality of images of a corresponding plurality of plants in a crop and an identifier of a respective field;
apply a computer-vision technique to each image in the plurality of images to determine an individual yield for each of the corresponding plants in the crop;
determine a size of a corresponding field based on the identifier of the corresponding field;
and
calculate an estimated crop yield based at least in part on the individual yield for each of the corresponding plants in the crop and the size of the corresponding field.

5 more elements

A non-transitory, computer-readable medium comprising machine-readable instructions that, when executed by a processor of a first computing device, cause the first computing device to at least:

receive a field report from a second computing device, the field report comprising a plurality of images of a corresponding plurality of plants in a crop and an identifier of a respective field;
apply a computer-vision technique to each image in the plurality of images to determine an individual yield for each of the corresponding plants in the crop;
determine a size of a corresponding field based on the identifier of the corresponding field;
and
calculate an estimated crop yield based at least in part on the individual yield for each of the corresponding plants in the crop and the size of the corresponding field.

2 more elements

Dependencies are inferred from the claim text.

Automated diagnosis and treatment of crop infestations

Life of this patent

Automated diagnosis and treatment of crop infestations

Life of this patent

Abstract

Claims18