Abstract: A device receives images of a field on a farm, and filters the images of the field to generate filtered images. The device isolates planting lanes in the filtered images, where the planting lanes include lanes formed by crops in the field, and the planting lanes are isolated via a masking technique or a sliding windows technique. The device identifies plant gaps in the planting lanes, where the plant gaps correspond to portions of the planting lanes that are missing crops, the plant gaps are identified based on a heat map when the masking technique is utilized to isolate the planting lanes, and the plant gaps are identified based on sliding windows when the sliding windows technique is utilized to isolate the planting lanes. The device superimposes the plant gaps over the images to generate a visual representation of stressed areas in the field, and performs an action based on the visual representation of the stressed areas.

Abstract: A device may receive first information associated with an emergence area. The first information may include imagery data of the emergence area. The device may determine an expected commodity quantity value based on the first information. The device may determine an actual commodity quantity value based on the imagery data. The device may determine an emergence value, associated with the emergence area, based on the expected commodity quantity value and the actual commodity quantity value. The device may receive second information associated with a commodity, and may determine one or more conditions based on the second information and the emergence value. The device may determine a recommendation based on the one or more conditions, and may provide the recommendation to permit and/or cause an action to be performed in association with the emergence area.

Abstract: A device receives images of a field on a farm, and filters the images of the field to generate filtered images. The device isolates planting lanes in the filtered images, where the planting lanes include lanes formed by crops in the field, and the planting lanes are isolated via a masking technique or a sliding windows technique. The device identifies plant gaps in the planting lanes, where the plant gaps correspond to portions of the planting lanes that are missing crops, the plant gaps are identified based on a heat map when the masking technique is utilized to isolate the planting lanes, and the plant gaps are identified based on sliding windows when the sliding windows technique is utilized to isolate the planting lanes. The device superimposes the plant gaps over the images to generate a visual representation of stressed areas in the field, and performs an action based on the visual representation of the stressed areas.

Abstract: A device may receive first information associated with an emergence area. The first information may include imagery data of the emergence area. The device may determine an expected commodity quantity value based on the first information. The device may determine an actual commodity quantity value based on the imagery data. The device may determine an emergence value, associated with the emergence area, based on the expected commodity quantity value and the actual commodity quantity value. The device may receive second information associated with a commodity, and may determine one or more conditions based on the second information and the emergence value. The device may determine a recommendation based on the one or more conditions, and may provide the recommendation to permit and/or cause an action to be performed in association with the emergence area.