Prediction of winter wheat leaf chlorophyll content based on VIS/NIR spectroscopy using ANN and PLSR

• Main Authors: Rasooli Sharabiani, V., Soltani Nazarloo, A., Taghinezahd, E., Veza, I., Szumny, A., Figiel, A.
• Format: Article
• Published: John Wiley and Sons Inc 2022
• Online Access: http://scholars.utp.edu.my/id/eprint/33911/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139401721&doi=10.1002%2ffsn3.3071&partnerID=40&md5=b85a0aa587b3fd13ab971bfca1058c84

Visible�near-infrared spectroscopy is known for its rapid and nondestructive characteristics designed to predict leaf chlorophyll content (LCC) of winter wheat. It is believed that the nonlinear technique is preferable to the linear method. The canopy reflectance was applied to generate the LCC pr...