Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images
University of Bologna · Fondazione Bruno Kessler · +1 more institution
Abstract
Unmanned Aerial Vehicles (UAV)-based remote sensing offers great possibilities to acquire in a fast and easy way field data for precision agriculture applications. This field of study is rapidly increasing due to the benefits and advantages for farm resources management, particularly for studying crop health. This paper reports some experiences related to the analysis of cultivations (vineyards and tomatoes) with Tetracam multispectral data. The Tetracam camera was mounted on a multi-rotor hexacopter. The multispectral data were processed with a photogrammetric pipeline to create triband orthoimages of the surveyed sites. Those orthoimages were employed to extract some Vegetation Indices (VI) such as the…
Citation impact
- FWCI
- 27.77
- Percentile
- 100%
- References
- 38
Authors
5Topics & keywords
- Multispectral image
- Normalized Difference Vegetation Index
- Photogrammetry
- Remote sensing
- Precision agriculture
- Vegetation Index
- Vegetation (pathology)
- Environmental science
- Zero hunger