Remote and Proximal Sensing-Derived Spectral Indices and Biophysical Variables for Spatial Variation Determination in Vineyards

Remote and Proximal Sensing-Derived Spectral Indices and Biophysical Variables for Spatial Variation Determination in Vineyards

Remote-sensing measurements are crucial for smart-farming applications, crop monitoring, and yield forecasting, especially in fields characterized by high heterogeneity. Therefore, in this study, Precision Viticulture (PV) methods using proximal- and remote-sensing technologies were exploited and co...

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Bibliographic Details
Main Authors:	Nicoleta Darra, Emmanouil Psomiadis, Aikaterini Kasimati, Achilleas Anastasiou, Evangelos Anastasiou, Spyros Fountas
Format:	Article
Language:	English
Published:	MDPI AG 2021-04-01
Series:	Agronomy
Subjects:	precision viticulture Sentinel-2 crop circle ACS-470 vegetation indices vegetation biophysical variables
Online Access:	https://www.mdpi.com/2073-4395/11/4/741

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