Abstract: Disclosed is a technique for automatically performing disease detection using image processing. The technique includes receiving, from image capture devices, a first image depicting a first set of plants of a first unit and a second image depicting a second set of plants of a second unit. One or more metrics associated with the first and second sets of the plants are measured based at least on the images. At least one difference in the first and second sets of the plants is detected based at least on differences in the measurement for the one or more metrics associated with the first set of the plants and the second set of the plants. In response to detecting the at least one difference, additional images of the plants are requested from the one or more image capture devices to detect the presence of plant disease.

Abstract: Disclosed is a technique for automatically performing disease detection using image processing. The technique includes receiving, from image capture devices, a first image depicting a first set of plants of a first unit and a second image depicting a second set of plants of a second unit. One or more metrics associated with the first and second sets of the plants are measured based at least on the images. At least one difference in the first and second sets of the plants is detected based at least on differences in the measurement for the one or more metrics associated with the first set of the plants and the second set of the plants. In response to detecting the at least one difference, additional images of the plants are requested from the one or more image capture devices to detect the presence of plant disease.