Identification and Severity Monitoring of Maize Dwarf Mosaic Virus Infection Based on Hyperspectral Measurements
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Identification and Severity Monitoring of Maize Dwarf Mosaic Virus Infection Based on Hyperspectral Measurements
Authors
Keywords
-
Journal
Remote Sensing
Volume 13, Issue 22, Pages 4560
Publisher
MDPI AG
Online
2021-11-15
DOI
10.3390/rs13224560
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Integrating Spectral Information and Meteorological Data to Monitor Wheat Yellow Rust at a Regional Scale: A Case Study
- (2021) Qiong Zheng et al. Remote Sensing
- Detection of Xylella fastidiosa in almond orchards by synergic use of an epidemic spread model and remotely sensed plant traits
- (2021) C. Camino et al. REMOTE SENSING OF ENVIRONMENT
- Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach
- (2021) Yuchi Ma et al. REMOTE SENSING OF ENVIRONMENT
- A CNN-RNN Framework for Crop Yield Prediction
- (2020) Saeed Khaki et al. Frontiers in Plant Science
- Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest
- (2020) Yanghui Kang et al. Environmental Research Letters
- Unmanned Aerial Vehicle-Based Phenotyping Using Morphometric and Spectral Analysis Can Quantify Responses of Wild Tomato Plants to Salinity Stress
- (2019) Kasper Johansen et al. Frontiers in Plant Science
- Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data
- (2019) Liang Han et al. Plant Methods
- Mapping vineyard vigor using airborne remote sensing: relations with yield, berry composition and sanitary status under humid climate conditions
- (2019) Milka Ferrer et al. PRECISION AGRICULTURE
- A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat
- (2019) Syed Haleem Shah et al. Remote Sensing
- A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level
- (2019) Hao Jiang et al. GLOBAL CHANGE BIOLOGY
- Soybean yield prediction from UAV using multimodal data fusion and deep learning
- (2019) Maitiniyazi Maimaitijiang et al. REMOTE SENSING OF ENVIRONMENT
- Using negative soil adjustment factor in soil-adjusted vegetation index (SAVI) for aboveground living biomass estimation in arid grasslands
- (2018) Hongrui Ren et al. REMOTE SENSING OF ENVIRONMENT
- A rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral UAV platform
- (2018) Muhammad Adeel Hassan et al. PLANT SCIENCE
- The shared and unique values of optical, fluorescence, thermal and microwave satellite data for estimating large-scale crop yields
- (2017) Kaiyu Guan et al. REMOTE SENSING OF ENVIRONMENT
- Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models
- (2017) Huanhuan Yuan et al. Remote Sensing
- High-Throughput Phenotyping of Maize Leaf Physiological and Biochemical Traits Using Hyperspectral Reflectance
- (2016) Craig R. Yendrek et al. PLANT PHYSIOLOGY
- Improved remote sensing detection of wheat powdery mildew using dual-green vegetation indices
- (2016) Wei Feng et al. PRECISION AGRICULTURE
- Multiple functional roles of anthocyanins in plant-environment interactions
- (2015) M. Landi et al. ENVIRONMENTAL AND EXPERIMENTAL BOTANY
- Early Detection and Quantification of Verticillium Wilt in Olive Using Hyperspectral and Thermal Imagery over Large Areas
- (2015) Rocío Calderón et al. Remote Sensing
- New Optimized Spectral Indices for Identifying and Monitoring Winter Wheat Diseases
- (2014) Wenjiang Huang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Leaf and canopy water content estimation in cotton using hyperspectral indices and radiative transfer models
- (2014) Qiuxiang Yi et al. International Journal of Applied Earth Observation and Geoinformation
- Characterization of the Largest Effector Gene Cluster of Ustilago maydis
- (2014) Thomas Brefort et al. PLoS Pathogens
- Classification of Australian Native Forest Species Using Hyperspectral Remote Sensing and Machine-Learning Classification Algorithms
- (2013) Xiao Shang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Antifeedant activity of luteolin and genistein against the pea aphid, Acyrthosiphon pisum
- (2013) Sylwia Goławska et al. JOURNAL OF PEST SCIENCE
- Modelling leaf chlorophyll content in broadleaf and needle leaf canopies from ground, CASI, Landsat TM 5 and MERIS reflectance data
- (2013) H. Croft et al. REMOTE SENSING OF ENVIRONMENT
- MODIS-based corn grain yield estimation model incorporating crop phenology information
- (2013) Toshihiro Sakamoto et al. REMOTE SENSING OF ENVIRONMENT
- An assessment of pre- and within-season remotely sensed variables for forecasting corn and soybean yields in the United States
- (2013) David M. Johnson REMOTE SENSING OF ENVIRONMENT
- Estimation of nitrogen, phosphorus, and potassium contents in the leaves of different plants using laboratory-based visible and near-infrared reflectance spectroscopy: comparison of partial least-square regression and support vector machine regression methods
- (2012) Yanfang Zhai et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Disease Resistance in Maize and the Role of Molecular Breeding in Defending Against Global Threat
- (2012) Farhan Ali et al. Journal of Integrative Plant Biology
- Diagnostic mapping of canopy nitrogen content in rice based on hyperspectral measurements
- (2012) Yoshio Inoue et al. REMOTE SENSING OF ENVIRONMENT
- Development of spectral indices for detecting and identifying plant diseases
- (2012) A.-K. Mahlein et al. REMOTE SENSING OF ENVIRONMENT
- Leaf reddening in the seagrass Thalassia testudinum in relation to anthocyanins, seagrass physiology and morphology, and plant protection
- (2011) Alyssa B. Novak et al. MARINE BIOLOGY
- Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance
- (2010) T. Rumpf et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Feature Selection for Classification of Hyperspectral Data by SVM
- (2010) Mahesh Pal et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Satellite Remote Sensing of Wheat Infected byWheat streak mosaic virus
- (2010) M. Mirik et al. PLANT DISEASE
- Spectral signatures of sugar beet leaves for the detection and differentiation of diseases
- (2010) A.-K. Mahlein et al. PRECISION AGRICULTURE
- Light absorption by anthocyanins in juvenile, stressed, and senescing leaves
- (2008) Mark N. Merzlyak et al. JOURNAL OF EXPERIMENTAL BOTANY
- Development of a two-band enhanced vegetation index without a blue band
- (2008) Z JIANG et al. REMOTE SENSING OF ENVIRONMENT
- Characterizing and Estimating Fungal Disease Severity of Rice Brown Spot with Hyperspectral Reflectance Data
- (2008) Zhan-yu LIU et al. Rice Science
- Monitoring leaf nitrogen status with hyperspectral reflectance in wheat
- (2007) W. Feng et al. EUROPEAN JOURNAL OF AGRONOMY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More