Methods for deploying biosentinels to agricultural fields and monitoring biotic and abiotic stresses in crops remotely

A method comprising:

• accessing a first feed of images recorded at a first frequency by a fixed sensor facing a first set of sentinel plants in an agricultural field;
• accessing a second image of a region of the agricultural field comprising the first set of sentinel plants, the second image recorded by a mobile sensor during a first time period;
• interpreting a first pressure of a stressor in the first set of sentinel plants during the first time period based on a first set of features extracted from a first image, in the first feed of images, captured during the first time period;
• interpreting a first pressure gradient of the stressor in sentinel plants in the region of the agricultural field during the first time period based on a second set of features extracted from the second image;
• deriving a gradient model associating pressure of the stressor at the first set of sentinel plants and pressure gradient of the stressor in the region of the agricultural field based on the first pressure of the stressor and the first pressure gradient;
• interpreting a second pressure of the stressor in the first set of sentinel plants during a second time period based on a third set of features extracted from a third image, in the first feed of images, captured during the second time period;
• predicting a second pressure gradient of the stressor in the region of the agricultural field during the second time period based on the second pressure and the model;
• and
• in response to the second pressure gradient predicting a third pressure in a subregion of the agricultural field and exceeding a threshold pressure, generating a prompt to address the stressor in plants occupying the agricultural field proximal the subregion of the agricultural field.

A method comprising:

• accessing a first feed of images of a first set of sentinel plants in an agricultural field, the first feed recorded at a first frequency by a fixed sensor;
• accessing a second image of the agricultural field recorded by an aerial sensor during a first time period;
• interpreting a first pressure of a first stressor, in a set of stressors, in the first set of sentinel plants during the first time period based on a first set of features extracted from a first image, in the first feed of images, captured during the first time period;
• interpreting a second pressure of the first stressor in the first set of sentinel plants during the first time period based on a second set of features extracted from a region of the second image comprising the first set of sentinel plants;
• interpreting a first pressure gradient of the first stressor in the agricultural field during the first time period based on a third set of features extracted from regions of the second image;
• deriving a model associating pressure of the first stressor at the first set of sentinel plants with pressure gradient of the first stressor in the agricultural field based on the second pressure and the first pressure gradient;
• and
• rectifying the first pressure gradient of the first stressor in the agricultural field during the first time period based on the first pressure and the model.