Related references
Note: Only part of the references are listed.Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence
Victor Partel et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence
Yiannis Ampatzidis et al.
REMOTE SENSING (2019)
Applications of Unmanned Aerial Vehicle Based Imagery in Turfgrass Field Trials
Jing Zhang et al.
FRONTIERS IN PLANT SCIENCE (2019)
Evaluating the Potential of Multi-Seasonal CBERS-04 Imagery for Mapping the Quasi-Circular Vegetation Patches in the Yellow River Delta Using Random Forest
Qingsheng Liu et al.
REMOTE SENSING (2019)
Automated vision-based system for monitoring Asian citrus psyllid in orchards utilizing artificial intelligence
Victor Partel et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
A remote sensing technique for detecting laurel wilt disease in avocado in presence of other biotic and abiotic stresses
Jaafar Abdulridha et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture
Wouter H. Maes et al.
TRENDS IN PLANT SCIENCE (2019)
On the Potentiality of UAV Multispectral Imagery to Detect Flavescence doree and Grapevine Trunk Diseases
Johanna Albetis et al.
REMOTE SENSING (2019)
Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection
Muhammad Sharif et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Evaluating canopy spectral reflectance vegetation indices to estimate nitrogen use traits in hard winter wheat
Katherine Frels et al.
FIELD CROPS RESEARCH (2018)
Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform
Mohd Shahrimie Mohd Asaari et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)
Functional characterization of the citrus canker susceptibility gene CsLOB1
Shuo Duan et al.
MOLECULAR PLANT PATHOLOGY (2018)
The Use of Features from Fluorescence, Thermography, and NDVI Imaging to Detect Biotic Stress in Lettuce
Martin Sandmann et al.
PLANT DISEASE (2018)
Non-destructive recognition and classification of citrus fruit blemishes based on ant colony optimized spectral information
Yao Zhang et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2018)
From hyperspectral imaging to multispectral imaging: Portability and stability of HIS-MIS algorithms for common defect detection
Baohua Zhang et al.
POSTHARVEST BIOLOGY AND TECHNOLOGY (2018)
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)
Hyperspectral reflectance imaging combined with carbohydrate metabolism analysis for diagnosis of citrus Huanglongbing in different seasons and cultivars
Haiyong Weng et al.
SENSORS AND ACTUATORS B-CHEMICAL (2018)
UAV Multispectral Imagery Can Complement Satellite Data for Monitoring Forest Health
Jonathan P. Dash et al.
REMOTE SENSING (2018)
Using spectral reflectance to estimate leaf chlorophyll content of tea with shading treatments
Rei Sonobe et al.
BIOSYSTEMS ENGINEERING (2018)
Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images
Mohamed Kerkech et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Evaluating the performance of spectral features and multivariate analysis tools to detect laurel wilt disease and nutritional deficiency in avocado
Jaafar Abdulridha et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
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)
Detection of Flavescence doree Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery
Johanna Albetis et al.
REMOTE SENSING (2017)
iPathology: Robotic Applications and Management of Plants and Plant Diseases
Yiannis Ampatzidis et al.
SUSTAINABILITY (2017)
Field detection of anthracnose crown rot in strawberry using spectroscopy technology
Jinzhu Lu et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2017)
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)
Plant Pathology and Information Technology: Opportunity for Management of Disease Outbreak and Applications in Regulation Frameworks
Andrea Luvisi et al.
SUSTAINABILITY (2016)
Detection and Differentiation between Laurel Wilt Disease, Phytophthora Disease, and Salinity Damage Using a Hyperspectral Sensing Technique
Jaafar Abdulridha et al.
AGRICULTURE-BASEL (2016)
Importance of biocrusts in dryland monitoring using spectral indices
Emilio Rodriguez-Caballero et al.
REMOTE SENSING OF ENVIRONMENT (2015)
Potential of radial basis function-based support vector regression for apple disease detection
Elham Omrani et al.
MEASUREMENT (2014)
Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus trees
Francisco Garcia-Ruiz et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2013)
Visible-near infrared spectroscopy for detection of Huanglongbing in citrus orchards
Sindhuja Sankaran et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2011)
Wind speed and wind-associated leaf injury affect severity of citrus canker on Swingle citrumelo
C. H. Bock et al.
EUROPEAN JOURNAL OF PLANT PATHOLOGY (2010)
Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence
Jianwei Qin et al.
JOURNAL OF FOOD ENGINEERING (2009)
Spectral reflectance to estimate genetic variation for in-season biomass, leaf chlorophyll, and canopy temperature in wheat
MA Babar et al.
CROP SCIENCE (2006)
Sensitive and specific detection of Xanthomonas axonopodis pv. citri by PCR using pathovar specific primers based on hrpW gene sequences
DS Park et al.
MICROBIOLOGICAL RESEARCH (2006)
Application of image processing and radial basis neural network techniques for ore sorting and ore classification
V Singh et al.
MINERALS ENGINEERING (2005)
Effect of simulated wind-driven rain on duration and distance of dispersal of Xanthomonas axonopodis pv. citri from canker-infected citrus trees
CH Bock et al.
PLANT DISEASE (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)
Lack of control of citrus canker by induced systemic resistance compounds
JH Graham et al.
PLANT DISEASE (2004)
Xanthomonas axonopodis pv. citri: factors affecting successful eradication of citrus canker
JH Graham et al.
MOLECULAR PLANT PATHOLOGY (2004)
Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression
PM Hansen et al.
REMOTE SENSING OF ENVIRONMENT (2003)
Vegetation indices derived from high-resolution airborne videography for precision crop management
G Metternicht
INTERNATIONAL JOURNAL OF REMOTE SENSING (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)
Novel algorithms for remote estimation of vegetation fraction
AA Gitelson et al.
REMOTE SENSING OF ENVIRONMENT (2002)
Stepwise discriminant analysis for colour grading of oil palm using machine vision system
MZ Abdullah et al.
FOOD AND BIOPRODUCTS PROCESSING (2001)
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)
In-season prediction of potential grain yield in winter wheat using canopy reflectance
WR Raun et al.
AGRONOMY JOURNAL (2001)
Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance
CST Daughtry et al.
REMOTE SENSING OF ENVIRONMENT (2000)
Share Paper
