相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Hyperspectral remote sensing for assessment of chlorophyll sufficiency levels in mature oil palm (Elaeis guineensis) based on frond numbers: Analysis of decision tree and random forest
Amiratul Diyana Amirruddin et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis
T. Poblete et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
Development and Evaluation of a New Spectral Disease Index to Detect Wheat Fusarium Head Blight Using Hyperspectral Imaging
Dongyan Zhang et al.
SENSORS (2020)
Hyperspectral imaging of symptoms induced byRhizoctonia solaniin sugar beet: comparison of input data and different machine learning algorithms
Abel Barreto et al.
JOURNAL OF PLANT DISEASES AND PROTECTION (2020)
Non-Destructive Early Detection and Quantitative Severity Stage Classification of Tomato Chlorosis Virus (ToCV) Infection in Young Tomato Plants Using Vis-NIR Spectroscopy
Antonios Morellos et al.
REMOTE SENSING (2020)
Quantifying Leaf Chlorophyll Concentration of Sorghum from Hyperspectral Data Using Derivative Calculus and Machine Learning
Sourav Bhadra et al.
REMOTE SENSING (2020)
A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades
Ning Zhang et al.
REMOTE SENSING (2020)
Early detection of grapevine leafroll disease in a red-berried wine grape cultivar using hyperspectral imaging
Zongmei Gao et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Extraction of onion fields infected by anthracnose-twister disease in selected municipalities of Nueva Ecija using UAV imageries
R. T. Alberto et al.
SPATIAL INFORMATION RESEARCH (2020)
UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras
Vasit Sagan et al.
REMOTE SENSING (2019)
Dual Activation Function-Based Extreme Learning Machine (ELM) for Estimating Grapevine Berry Yield and Quality
Matthew Maimaitiyiming et al.
REMOTE SENSING (2019)
Identification of wheat powdery mildew using in-situ hyperspectral data and linear regression and support vector machines
Linsheng Huang et al.
JOURNAL OF PLANT PATHOLOGY (2019)
A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images
Xin Zhang et al.
REMOTE SENSING (2019)
UAV-Based Remote Sensing Technique to Detect Citrus Canker Disease Utilizing Hyperspectral Imaging and Machine Learning
Jaafar Abdulridha et al.
REMOTE SENSING (2019)
Geographic and Climatic Attributions of Autumn Land Surface Phenology Spatial Patterns in the Temperate Deciduous Broadleaf Forest of China
Weiguang Lang et al.
REMOTE SENSING (2019)
Plant disease identification using explainable 3D deep learning on hyperspectral images
Koushik Nagasubramanian et al.
PLANT METHODS (2019)
Plant Disease Detection and Classification by Deep Learning
Muhammad Hammad Saleem et al.
PLANTS-BASEL (2019)
Detection of peanut leaf spots disease using canopy hyperspectral reflectance
Tingting Chen et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
On the Potentiality of UAV Multispectral Imagery to Detect Flavescence doree and Grapevine Trunk Diseases
Johanna Albetis et al.
REMOTE SENSING (2019)
Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection
Jan Behmann et al.
SENSORS (2018)
Effects of Ambient Ozone on Soybean Biophysical Variables and Mineral Nutrient Accumulation
Vasit Sagan et al.
REMOTE SENSING (2018)
Classifying Wheat Hyperspectral Pixels of Healthy Heads and Fusarium Head Blight Disease Using a Deep Neural Network in the Wild Field
Xiu Jin et al.
REMOTE SENSING (2018)
Using Image Texture and Spectral Reflectance Analysis to Detect Yellowness and Esca in Grapevines at Leaf-Level
Hania Al-Saddik et al.
REMOTE SENSING (2018)
Observation of plant-pathogen interaction by simultaneous hyperspectral imaging reflection and transmission measurements
Stefan Thomas et al.
FUNCTIONAL PLANT BIOLOGY (2017)
Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress
Amy Lowe et al.
PLANT METHODS (2017)
Improved classification accuracy of powdery mildew infection levels of wine grapes by spatial-spectral analysis of hyperspectral images
Uwe Knauer et al.
PLANT METHODS (2017)
Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers
Hongyan Zhu et al.
SCIENTIFIC REPORTS (2017)
Detection of Flavescence doree Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery
Johanna Albetis et al.
REMOTE SENSING (2017)
Remote hyperspectral imaging of grapevine leafroll-associated virus 3 in cabernet sauvignon vineyards
Sarah L. MacDonald et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2016)
An Investigation Into Machine Learning Regression Techniques for the Leaf Rust Disease Detection Using Hyperspectral Measurement
Davoud Ashourloo et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2016)
Hyperspectral phenotyping of the reaction of grapevine genotypes to Plasmopara viticola
Erich-Christian Oerke et al.
JOURNAL OF EXPERIMENTAL BOTANY (2016)
Spectrum and Image Texture Features Analysis for Early Blight Disease Detection on Eggplant Leaves
Chuanqi Xie et al.
SENSORS (2016)
Advanced methods of plant disease detection. A review
Federico Martinelli et al.
AGRONOMY FOR SUSTAINABLE DEVELOPMENT (2015)
A Review of Remote Sensing Image Classification Techniques: the Role of Spatio-contextual Information
Miao Li et al.
EUROPEAN JOURNAL OF REMOTE SENSING (2014)
Climate Change Impacts on Plant Pathogens and Plant Diseases
Yigal Elad et al.
JOURNAL OF CROP IMPROVEMENT (2014)
Thermography to explore plant-environment interactions
J. Miguel Costa et al.
JOURNAL OF EXPERIMENTAL BOTANY (2013)
Development of spectral indices for detecting and identifying plant diseases
A. -K. Mahlein et al.
REMOTE SENSING OF ENVIRONMENT (2013)
Early detection of Fusarium infection in wheat using hyper-spectral imaging
E. Bauriegel et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2011)
Remote sensing to detect plant stress induced by Heterodera schachtii and Rhizoctonia solani in sugar beet fields
C. Hillnhuetter et al.
FIELD CROPS RESEARCH (2011)
Early detection of toxigenic fungi on maize by hyperspectral imaging analysis
A. Del Fiore et al.
INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY (2010)
Spectral signatures of sugar beet leaves for the detection and differentiation of diseases
A. -K. Mahlein et al.
PRECISION AGRICULTURE (2010)
A model for chlorophyll fluorescence and photosynthesis at leaf scale
C. van der Tol et al.
AGRICULTURAL AND FOREST METEOROLOGY (2009)
Spectral prediction of Phytophthora infestans infection on tomatoes using artificial neural network (ANN)
X. Wang et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2008)
Detection of biotic stress (Venturia inaequalis) in apple trees using hyperspectral data:: Non-parametric statistical approaches and physiological implications
Stephanie Delalieux et al.
EUROPEAN JOURNAL OF AGRONOMY (2007)
Multi-temporal wheat disease detection by multi-spectral remote sensing
Jonas Franke et al.
PRECISION AGRICULTURE (2007)
Spectral reflectance to estimate genetic variation for in-season biomass, leaf chlorophyll, and canopy temperature in wheat
MA Babar et al.
CROP SCIENCE (2006)
Assessing vineyard condition with hyperspectral indices:: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy
PJ Zarco-Tejada et al.
REMOTE SENSING OF ENVIRONMENT (2005)
Simple reflectance indices track heat and water stress-induced changes in steady-state chlorophyll fluorescence at the canopy scale
SZ Dobrowski et al.
REMOTE SENSING OF ENVIRONMENT (2005)
Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
D Haboudane et al.
REMOTE SENSING OF ENVIRONMENT (2004)
Detecting sugarcane 'orange rust' disease using EO-1 Hyperion hyperspectral imagery
A Apan et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2004)
Vegetation indices derived from high-resolution airborne videography for precision crop management
G Metternicht
INTERNATIONAL JOURNAL OF REMOTE SENSING (2003)
Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves
AA Gitelson et al.
JOURNAL OF PLANT PHYSIOLOGY (2003)
Early disease detection in wheat fields using spectral reflectance
C Bravo et al.
BIOSYSTEMS ENGINEERING (2003)
Lambertian reflectance and linear subspaces
R Basri et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2003)
The potential of optical canopy measurement for targeted control of field crop diseases
JS West et al.
ANNUAL REVIEW OF PHYTOPATHOLOGY (2003)
Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
DA Sims et al.
REMOTE SENSING OF ENVIRONMENT (2002)
Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture
D Haboudane et al.
REMOTE SENSING OF ENVIRONMENT (2002)
Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density
NH Broge et al.
REMOTE SENSING OF ENVIRONMENT (2001)
Chlorophyll fluorescence effects on vegetation apparent reflectance: I. Leaf-level measurements and model simulation
PJ Zarco-Tejada et al.
REMOTE SENSING OF ENVIRONMENT (2000)
Chlorophyll fluorescence effects on vegetation apparent reflectance: II. Laboratory and airborne canopy-level measurements with hyperspectral data
PJ Zarco-Tejada et al.
REMOTE SENSING OF ENVIRONMENT (2000)
Chlorophyll fluorescence - a practical guide
K Maxwell et al.
JOURNAL OF EXPERIMENTAL BOTANY (2000)
分享论文
