Abstract:

The spectral characteristics of a plant mainly depend on its leaves, and the growth state of leaves determines different characteristic spectral information. Different plant leaves have different pigment content, cell structure, water content and nutrients, and the spectra response and image presentation are different. Using spectra and image analysis techniques, we can identify plant types, retrieve plant nutrient content and monitor plant growth status. At present, most studies focus on the study of spectra or image in a certain period, and there are few studies obtaining spectra and images simultaneously and continuously. In this study, healthy and standard apple leaves of Fuji, Huahong and Gala in the National Apple Resource Nursery were collected once a week from August to October, and the near-infrared spectra and images were obtained, in order to accumulate basic data for variety identification and determination of apple health by nondestructive means in the future.

Key words: apple, near infrared spectra, images, standard leaves