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Detection of Erwinia amylovora in pear leaves using a combined approach by hyperspectral reflectance and nuclear magnetic resonance spectroscopy [PDF]
Phytopathologia Mediterranea, 2018 Erwinia amylovora infections on pear leaves were studied using nuclear magnetic resonance and hyperspectral reflectance spectroscopies. Inoculated pear plants under controlled conditions were used for comparing Erwinia amylovora infected leaves with ...
Antonino RIZZUTI +8 more
doaj +2 more sources
Remote Sensing, 2022 Leaf spot (LS) caused by Cercosporidium personatum is one of the most harmful peanut diseases in the late growth stage and severely affects the yield of peanuts.
Q. Guan +4 more
semanticscholar +1 more source
Remote Sensing, 2021 In order to improve the signal-to-noise ratio of the hyperspectral sensors and exploit the potential of satellite hyperspectral data for predicting soil properties, we took MingShui County as the study area, which the study area is approximately 1481 km2,
Xiangtian Meng +6 more
doaj +1 more source
Soil Systems, 2022 Toxic heavy metals in soil negatively impact soil’s physical, biological, and chemical characteristics, and also human wellbeing. The traditional approach of chemical analysis procedures for assessing soil toxicant element concentration is time-consuming
A. Saha +3 more
semanticscholar +1 more source
Classification of tree species based on hyperspectral reflectance images of stem bark
European Journal of Remote Sensing, 2022 Automatization of tree species identification in the field is crucial in improving forest-based bioeconomy, supporting forest management, and facilitating in situ data collection for remote sensing applications.
Jussi Juola, A. Hovi, M. Rautiainen
semanticscholar +1 more source
Earth System Science Data, 2022 . Using data collected by the Hyperspectral Imager for the Coastal Ocean (HICO) on the International Space Station between 2010–2014, hyperspectral reflectance spectra of various floating matters in global oceans and lakes are derived for the spectral ...
Chuan-Min Hu
semanticscholar +1 more source
Making the Genotypic Variation Visible: Hyperspectral Phenotyping in Scots Pine Seedlings
Plant Phenomics, 2023 Hyperspectral reflectance contains valuable information about leaf functional traits, which can indicate a plant’s physiological status. Therefore, using hyperspectral reflectance for high-throughput phenotyping of foliar traits could be a powerful tool ...
Jan Stejskal +10 more
doaj +1 more source
Detection of the Metabolic Response to Drought Stress Using Hyperspectral Reflectance.
Journal of Experimental Botany, 2021 Drought is the most important limitation on crop yield. Understanding and detecting drought stress in crops is vital for improving water use efficiency through effective breeding and management.
A. C. Burnett +4 more
semanticscholar +1 more source
Agronomy, 2021 Weeds compete with crops and are hard to differentiate and identify due to their similarities in color, shape, and size. In this study, the weed species present in sorghum (sorghum bicolor (L.) Moench) fields, such as amaranth (Amaranthus macrocarpus ...
N. N. Che'ya, Ernest Dunwoody, M. Gupta
semanticscholar +1 more source
Remote Sensing, 2022 To analyze the hyperspectral reflectance characteristics of rice canopies under changes in diffuse radiation fraction, experiments using different cover materials were performed in Nanjing, China, during 2016 and 2017.
Tao Zhang +5 more
semanticscholar +1 more source