BIM 360 Field 2005 64 Bit Keygen Free

UAV platforms have been extensively used for studying and exploring vineyards, offering valuable technology for estimating numerous vineyard parameters (e.g.; Mathews and Jensen, 2013; Zarco-Tejada et al., 2013; Matese et al., 2016; Santesteban et al., 2017; Weiss and Baret, 2017; Poblete-Echeverría et al., 2017). In general, UAV offers the possibility of obtaining precise and high-resolution multispectral imagery, which is critical for measuring the shape of the vine shadows correctly. Furthermore, it allows the time of the flight to be chosen (Vélez et al., 2020a), which was a crucial factor in this study as the flight needed to be scheduled according to sun elevation, period of the year and desired shadow size (related to plant height). Other authors have hypothesised that shadows can be used as an indirect measure of leaf area and canopy characteristics (Zheng and Moskal, 2009), or have even suggested the possibility of using optical remote Sensing close to solar noon to monitor and map vineyard shaded area (Johnson and Scholasch, 2005). However, to our knowledge, this is the first study to follow and evaluate a field protocol for measuring vine leaf area using the shaded area under real conditions. This study takes advantage of advances in image capturing and UAV technologies, combining previous knowledge in viticulture with remote Sensing and machine learning methods.

BIM 360 Field 2005 64 bit keygen free

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