A Novel Approach for Estimation of Above-Ground Biomass of Sugar Beet Based on Wavelength Selection and Optimized Support Vector Machine
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Novel Approach for Estimation of Above-Ground Biomass of Sugar Beet Based on Wavelength Selection and Optimized Support Vector Machine
Authors
Keywords
-
Journal
Remote Sensing
Volume 12, Issue 4, Pages 620
Publisher
MDPI AG
Online
2020-02-20
DOI
10.3390/rs12040620
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A feature selection approach for hyperspectral image based on modified ant lion optimizer
- (2019) Mingwei Wang et al. KNOWLEDGE-BASED SYSTEMS
- A grey wolf optimizer using Gaussian estimation of distribution and its application in the multi-UAV multi-target urban tracking problem
- (2019) Xiaofei Wang et al. APPLIED SOFT COMPUTING
- A multi-region combined model for non-destructive prediction of soluble solids content in apple, based on brightness grade segmentation of hyperspectral imaging
- (2019) Xi Tian et al. BIOSYSTEMS ENGINEERING
- Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection
- (2019) Akrem Sellami et al. EXPERT SYSTEMS WITH APPLICATIONS
- Ability of models with effective wavelengths to monitor nitrogen and phosphorus status of winter oilseed rape leaves using in situ canopy spectroscopy
- (2018) Lantao Li et al. FIELD CROPS RESEARCH
- Characterization of myofibrils cold structural deformation degrees of frozen pork using hyperspectral imaging coupled with spectral angle mapping algorithm
- (2018) Weiwei Cheng et al. FOOD CHEMISTRY
- Effect of green, yellow and purple radiation on biomass, photosynthesis, morphology and soluble sugar content of leafy lettuce via spectral wavebands “knock out”
- (2018) Hui Liu et al. SCIENTIA HORTICULTURAE
- Quality assessment and discrimination of intact white and red grapes from Vitis vinifera L. at five ripening stages by visible and near-infrared spectroscopy
- (2018) Hui Xiao et al. SCIENTIA HORTICULTURAE
- Diagnosis of Parkinson’s disease using modified grey wolf optimization
- (2018) Prerna Sharma et al. Cognitive Systems Research
- Multilevel thresholding using grey wolf optimizer for image segmentation
- (2017) Abdul Kayom Md Khairuzzaman et al. EXPERT SYSTEMS WITH APPLICATIONS
- 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
- Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models
- (2017) Jibo Yue et al. Remote Sensing
- Grey wolf optimizer for unmanned combat aerial vehicle path planning
- (2016) Sen Zhang et al. ADVANCES IN ENGINEERING SOFTWARE
- The effect of harvest, mulching and low-dose fertilization of liquid digestate on above ground biomass yield and diversity of lower mountain semi-natural grasslands
- (2016) Frank Hensgen et al. AGRICULTURE ECOSYSTEMS & ENVIRONMENT
- Hybridizing grey wolf optimization with differential evolution for global optimization and test scheduling for 3D stacked SoC
- (2015) Aijun Zhu et al. Journal of Systems Engineering and Electronics
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Rapid and real-time prediction of lactic acid bacteria (LAB) in farmed salmon flesh using near-infrared (NIR) hyperspectral imaging combined with chemometric analysis
- (2014) Hong-Ju He et al. FOOD RESEARCH INTERNATIONAL
- Development and implementation of a multiscale biomass model using hyperspectral vegetation indices for winter wheat in the North China Plain
- (2014) Martin L. Gnyp et al. International Journal of Applied Earth Observation and Geoinformation
- Potential of Near-Infrared Spectroscopy for Measurement of Heavy Metals in Soil as Affected by Calibration Set Size
- (2014) Mima Todorova et al. WATER AIR AND SOIL POLLUTION
- Selection of Hyperspectral Narrowbands (HNBs) and Composition of Hyperspectral Twoband Vegetation Indices (HVIs) for Biophysical Characterization and Discrimination of Crop Types Using Field Reflectance and Hyperion/EO-1 Data
- (2013) Prasad S. Thenkabail et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- A Kernel-Based Feature Selection Method for SVM With RBF Kernel for Hyperspectral Image Classification
- (2013) Bor-Chen Kuo et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Estimation of tropical rain forest aboveground biomass with small-footprint lidar and hyperspectral sensors
- (2011) Matthew L. Clark et al. REMOTE SENSING OF ENVIRONMENT
- Hyperspectral waveband selection for internal defect detection of pickling cucumbers and whole pickles
- (2010) Diwan P. Ariana et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Do changes in light direction affect absorption profiles in leaves?
- (2010) Craig R. Brodersen et al. FUNCTIONAL PLANT BIOLOGY
- SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images
- (2010) Yuliya Tarabalka et al. IEEE Geoscience and Remote Sensing Letters
- Estimating canopy water content using hyperspectral remote sensing data
- (2010) J.G.P.W. Clevers et al. International Journal of Applied Earth Observation and Geoinformation
- Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration
- (2009) Hongdong Li et al. ANALYTICA CHIMICA ACTA
- Modified differential evolution algorithm for optimal power flow with non-smooth cost functions
- (2008) Samir Sayah et al. ENERGY CONVERSION AND MANAGEMENT
- A generalizable method for remote sensing of canopy nitrogen across a wide range of forest ecosystems
- (2008) M.E. Martin et al. REMOTE SENSING OF ENVIRONMENT
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