Unmanned Aerial Vehicle (UAV)-based remote sensing to monitor grapevine leaf stripe disease within a vineyard affected by esca complex

By S. F. D. Gennaro, Enrico Battiston, S. D. Marco, O. Facini, A. Matese, M. Nocentini, A. Palliotti, L. Mugnai. 2016

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Monitoring cotton (Gossypium hirsutum L.) germination using ultrahigh-resolution UAS images (2018, background): “…et al. 2015), while a georeferenced 2D orthomosaic image provides a uniform scale and geometrically corrected view over the entire test field, facilitating applications such as crop disease and damage detection (Di Gennaro et al. 2016; Garcia-Ruiz et al. 2013; Yang and Hoffmann 2015).”
Applications of Remote Sensing in Precision Agriculture: A Review (2020, background): “[248] found a good correlation between grapevine leaf stripe disease and NDVI generated from UAV imageries in Italy.”
Unmanned Aerial Vehicles (UAVs) in environmental biology: a review (2019, methodology): “Damages caused by another plant pathogen, Alternaria species, were assessed using a hyperspectral camera installed on UAV (Dijkstra et al., 2017). The authors concluded that the damaged-healthy pixel classification error only slightly increased when the number of bands was substantially reduced (fro”