TY - BOOK ID - 126294717 TI - UAVs for Vegetation Monitoring AU - de Castro Megías, Ana AU - Shi, Yeyin AU - Peña, Jose M. AU - Maja, Joe PY - 2021 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Research & information: general KW - UAS KW - UAV KW - vegetation cover KW - multispectral KW - land cover KW - forest KW - Acacia KW - Indonesia KW - tropics KW - vegetation ground cover KW - vegetation indices KW - agro-environmental measures KW - olive groves KW - southern Spain KW - sUAS KW - water stress KW - ornamental KW - container-grown KW - artificial intelligence KW - machine learning KW - deep learning KW - neural network KW - visual recognition KW - precision agriculture KW - canopy cover KW - image analysis KW - crop mapping KW - evapotranspiration (ET) KW - GRAPEX KW - remote sensing KW - Two Source Energy Balance model (TSEB) KW - contextual spatial domain/resolution KW - data aggregation KW - eddy covariance (EC) KW - Fusarium wilt KW - crop disease KW - banana KW - multispectral remote sensing KW - purple rapeseed leaves KW - unmanned aerial vehicle KW - U-Net KW - plant segmentation KW - nitrogen stress KW - Glycine max KW - RGB KW - canopy height KW - close remote sensing KW - growth model KW - curve fitting KW - NDVI KW - solar zenith angle KW - flight altitude KW - time of day KW - operating parameters KW - CNN KW - Faster RCNN KW - SSD KW - Inception v2 KW - patch-based CNN KW - MobileNet v2 KW - detection performance KW - inference time KW - disease detection KW - cotton root rot KW - plant-level KW - single-plant KW - plant-by-plant KW - classification KW - UAV remote sensing KW - crop monitoring KW - RGB imagery KW - multispectral imagery KW - century-old biochar KW - semantic segmentation KW - random forest KW - crop canopy KW - multispectral image KW - chlorophyll content KW - remote sensing technique KW - individual plant segmentation KW - plant detection KW - transfer learning KW - maize tassel KW - tassel branch number KW - convolution neural network KW - VGG16 KW - plant nitrogen estimation KW - vegetation index KW - image segmentation KW - transpiration KW - method comparison KW - oil palm KW - multiple linear regression KW - support vector machine KW - artificial neural network KW - UAV hyperspectral KW - wheat yellow rust KW - disease monitoring KW - texture KW - spatial resolution KW - RGB camera KW - thermal camera KW - drought tolerance KW - forage grass KW - HSV KW - CIELab KW - broad-sense heritability KW - phenotyping gap KW - high throughput field phenotyping KW - UAV digital images KW - winter wheat biomass KW - multiscale textures KW - red-edge spectra KW - least squares support vector machine KW - variable importance KW - drone KW - hyperspectral KW - thermal KW - nutrient deficiency KW - weed detection KW - disease diagnosis KW - plant trails UR - https://www.unicat.be/uniCat?func=search&query=sysid:126294717 AB - This book compiles a set of original and innovative papers included in the Special Issue on UAVs for vegetation monitoring, which proves the wide scope of UAVs in very diverse vegetation applications, both in agricultural and forestry scenarios, ranging from the characterization of relevant vegetation features to the detection of plant or crop stressors. New methods and techniques are developed and applied to diverse vegetation scenarios to meet the main challenge of sustainability. ER -