Input of the system is multispectral plant digital image, and the output are predicted pigment concentration. In the near future, this ability will be useful for developing analytical portable devices. The CNN model was chosen due to its ability to handle raw digital image data without prior feature extraction. In previous research, a prototype of the non-destructive and real-time system has been developed by utilizing the Convolutional Neural Network (CNN) model to produce predictions of three main photosynthetic pigments, i.e., chlorophyll, carotenoid, and anthocyanin. Along with the rapid development of digital imaging technology and artificial intelligence, now determination of plant pigments can be done in a non- destructive and real-time manner. Determination of photosynthetic pigments in intact leaves is an essential step in the plant analysis.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |