2015 · 15 citations · 0 references
AgricultureComputer SciencePlant PathologyComputer VisionMachine VisionPlant Disease DiagnosisAgricultural Machine VisionDisease DetectionDisease DiagnosisPest DetectionPest IdentificationSupport Vector MachinesAutomatic Identification SystemCrop Disease ClassificationDowny Mildew ManagementImage-based Disease DetectionImage-based Pest DetectionParameter ExtractionSupport Vector ClassificationSupport Vector Machine Classification
Cucumber, a common economic crop, occupies a large proportion of vegetable cultivation in China. Plant diseases and insect pests, especially the cucumber downy mildew, are important causes for the decrease in the yield of cucumbers. In order to reduce the losses caused by pests and diseases and achieve rapid automatic identification of plant diseases and insect pests, this paper studies machine vision system and disease image detection with support vector machine (SVM) classification algorithm, taking cucumber downy mildew for example. This paper carries out a method study in image acquisition, image preprocessing, feature parameter extraction, and pattern recognition, which obtains satisfactory results. The accuracy of cucumber downy mildew detection reaches 90%, significantly higher than that of artificial recognition.