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This study investigates the use of close-range multispectral imagery to detect powdery mildew in cucumber plants within a greenhouse. Utilizing a MicaSense® RedEdge camera, the researchers applied image processing techniques and machine learning algorithms to classify healthy and infected plant pixels, achieving varying validation accuracies across different spectral bands. The findings suggest potential for improved disease detection methods, although further research is needed to enhance training datasets

Author

kwang_887051324

Language

EN