Método preliminar de detección de patógenos biológicos en cultivos de fresa por medio del procesamiento digital de imágenes

Many studies focused on the recognition of biological pathogens in strawberry crops have shown to be effective. However, the image acquisition is carried out by destructive methods that involve booting the fruits of the plant. In this research has been proposed the development of an algorithm that allows analyze the fruits of a cultivation of Straw-berry (Fragaria x ananassa), capable of perfor-ming a first approximation to distinguish Botrytis sp. and Sphaerotheca SP., using a non-destructi-ve method, i.e., images are collected directly from cultivation without any intervention by the produ-cers and/or researchers. The image’s processing techniques that have been implemented include smoothing, erosion, dilation, detection of con-tours, patterns of correspondence, thresholding, among others. The results were visualized in an application developed in C# using the library Emgu CV, which shows to the user a diagnosis of plant study. It was concluded that it is possible to offer a service of preliminary monitoring of inci-dence of pathogens using this algorithm, saving time for producers and researchers who require a first approximation of the crop, with the ability to be executed both on desktop computers and laptops as in aerial robots (drones) that makes it possible automate this task.