Estimating the total nitrogen content of Aquilaria sinensis leaves based on a hybrid feature selection algorithm and image data from a modified digital camera
出版年份 2021 全文链接
标题
Estimating the total nitrogen content of Aquilaria sinensis leaves based on a hybrid feature selection algorithm and image data from a modified digital camera
作者
关键词
Total nitrogen content, Modified digital camera, Feature selection, Regression algorithm
出版物
BIOSYSTEMS ENGINEERING
Volume 213, Issue -, Pages 89-104
出版商
Elsevier BV
发表日期
2021-12-09
DOI
10.1016/j.biosystemseng.2021.11.021
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- A comparative study on dimensionality reduction of dielectric spectral data for the classification of basal stem rot (BSR) disease in oil palm
- (2020) Alfadhl Yahya Khaled et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning
- (2020) Hainie Zha et al. Remote Sensing
- A possible fractional order derivative and optimized spectral indices for assessing total nitrogen content in cotton
- (2020) Yierxiati Abulaiti et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Prediction of Early Season Nitrogen Uptake in Maize Using High-Resolution Aerial Hyperspectral Imagery
- (2020) Tyler J. Nigon et al. Remote Sensing
- Remote Sensing-Based Mapping of Senescent Leaf C:N Ratio in the Sundarbans Reserved Forest Using Machine Learning Techniques
- (2020) Md Mizanur Rahman et al. Remote Sensing
- Transforming Unmanned Aerial Vehicle (UAV) and Multispectral Sensor into a Practical Decision Support System for Precision Nitrogen Management in Corn
- (2020) Laura J. Thompson et al. Remote Sensing
- Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
- (2020) Katja Berger et al. International Journal of Applied Earth Observation and Geoinformation
- Neuroprotective compounds from the resinous heartwood of Aquilaria sinensis
- (2020) Qian He et al. PHYTOCHEMISTRY
- Assessing Nitrogen and water status of winter wheat using a digital camera
- (2019) H. Tavakoli et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices
- (2019) Jibo Yue et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Hyperspectral-based Estimation of Leaf Nitrogen Content in Corn Using Optimal Selection of Multiple Spectral Variables
- (2019) Fan et al. SENSORS
- Yield prediction of apricot using a hybrid particle swarm optimization-imperialist competitive algorithm- support vector regression (PSO-ICA-SVR) method
- (2019) I. Esfandiarpour-Boroujeni et al. SCIENTIA HORTICULTURAE
- Mapping forest canopy nitrogen content by inversion of coupled leaf-canopy radiative transfer models from airborne hyperspectral imagery
- (2018) Zhihui Wang et al. AGRICULTURAL AND FOREST METEOROLOGY
- Whale optimization approaches for wrapper feature selection
- (2018) Majdi Mafarja et al. APPLIED SOFT COMPUTING
- Nitrogen Vertical Distribution and Status Estimation Using Spectral Data in Maize
- (2018) Lu Yan-Li et al. COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS
- Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
- (2018) Anna Chlingaryan et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran
- (2018) Roozbeh Moazenzadeh et al. Engineering Applications of Computational Fluid Mechanics
- Effects of small-scale patchiness of alpine grassland on ecosystem carbon and nitrogen accumulation and estimation in northeastern Qinghai-Tibetan Plateau
- (2018) Yu Qin et al. GEODERMA
- A Pearson’s correlation coefficient based decision tree and its parallel implementation
- (2018) Yashuang Mu et al. INFORMATION SCIENCES
- Discrimination of nitrogen fertilizer levels of tea plant (Camellia sinensis ) based on hyperspectral imaging
- (2018) Yujie Wang et al. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
- Evaluation of RGB, Color-Infrared and Multispectral Images Acquired from Unmanned Aerial Systems for the Estimation of Nitrogen Accumulation in Rice
- (2018) Hengbiao Zheng et al. Remote Sensing
- Combining Unmanned Aerial Vehicle (UAV)-Based Multispectral Imagery and Ground-Based Hyperspectral Data for Plant Nitrogen Concentration Estimation in Rice
- (2018) Hengbiao Zheng et al. Frontiers in Plant Science
- A new feature selection method to improve the document clustering using particle swarm optimization algorithm
- (2018) Laith Mohammad Abualigah et al. Journal of Computational Science
- Preliminary research on total nitrogen content prediction of sandalwood using the error-in-variable models based on digital image processing
- (2018) Zhulin Chen et al. PLoS One
- Applications of random forest feature selection for fine-scale genetic population assignment
- (2017) Emma V. A. Sylvester et al. Evolutionary Applications
- Retrieving LAI, chlorophyll and nitrogen contents in sugar beet crops from multi-angular optical remote sensing: Comparison of vegetation indices and PROSAIL inversion for field phenotyping
- (2017) Sylvain Jay et al. FIELD CROPS RESEARCH
- Regularized Neural Networks Fusion and Genetic Algorithm Based On-Field Nitrogen Status Estimation of Wheat Plants
- (2017) Susanto B. Sulistyo et al. IEEE Transactions on Industrial Informatics
- Evaluating NIR-Red and NIR-Red edge external filters with digital cameras for assessing vegetation indices under different illumination
- (2017) Bayu Taruna Widjaja Putra et al. INFRARED PHYSICS & TECHNOLOGY
- Hyperspectral dimensionality reduction for biophysical variable statistical retrieval
- (2017) Juan Pablo Rivera-Caicedo et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Quantitative detection of harmful elements in alloy steel by LIBS technique and sequential backward selection-random forest (SBS-RF)
- (2017) Fangqi Ruan et al. JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY
- A nondestructive method to estimate the chlorophyll content of Arabidopsis seedlings
- (2017) Ying Liang et al. Plant Methods
- Feature Selection Based on Structured Sparsity: A Comprehensive Study
- (2017) Jie Gui et al. IEEE Transactions on Neural Networks and Learning Systems
- Evaluation of Feature Selection Methods for Object-Based Land Cover Mapping of Unmanned Aerial Vehicle Imagery Using Random Forest and Support Vector Machine Classifiers
- (2017) Lei Ma et al. ISPRS International Journal of Geo-Information
- Spectral band selection for vegetation properties retrieval using Gaussian processes regression
- (2016) Jochem Verrelst et al. International Journal of Applied Earth Observation and Geoinformation
- Cost-sensitive feature selection using random forest: Selecting low-cost subsets of informative features
- (2016) Qifeng Zhou et al. KNOWLEDGE-BASED SYSTEMS
- Binary grey wolf optimization approaches for feature selection
- (2016) E. Emary et al. NEUROCOMPUTING
- Improved remote sensing of leaf nitrogen concentration in winter wheat using multi-angular hyperspectral data
- (2016) Li He et al. REMOTE SENSING OF ENVIRONMENT
- Spectral feature selection and classification of roofing materials using field spectroscopy data
- (2015) Sarah Hanim Samsudin et al. Journal of Applied Remote Sensing
- Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia
- (2015) Ahmed Mohamed Youssef et al. Landslides
- An evaluation of classifier-specific filter measure performance for feature selection
- (2015) Cecille Freeman et al. PATTERN RECOGNITION
- Variable selection for Fisher linear discriminant analysis using the modified sequential backward selection algorithm for the microarray data
- (2014) Hong-Yi Peng et al. APPLIED MATHEMATICS AND COMPUTATION
- RGB-NIR multispectral camera
- (2014) Zhenyue Chen et al. OPTICS EXPRESS
- Estimating rice chlorophyll content and leaf nitrogen concentration with a digital still color camera under natural light
- (2014) Yuan Wang et al. Plant Methods
- Sequence Based Prediction of DNA-Binding Proteins Based on Hybrid Feature Selection Using Random Forest and Gaussian Naïve Bayes
- (2014) Wangchao Lou et al. PLoS One
- Exploring the Best Hyperspectral Features for LAI Estimation Using Partial Least Squares Regression
- (2014) Xinchuan Li et al. Remote Sensing
- A survey on feature selection methods
- (2013) Girish Chandrashekar et al. COMPUTERS & ELECTRICAL ENGINEERING
- Estimating olive leaf nitrogen concentration using visible and near-infrared spectral reflectance
- (2012) Nativ Rotbart et al. BIOSYSTEMS ENGINEERING
- Feature subset selection wrapper based on mutual information and rough sets
- (2011) Sombut Foithong et al. EXPERT SYSTEMS WITH APPLICATIONS
- Lettuce calcium deficiency detection with machine vision computed plant features in controlled environments
- (2010) David Story et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Evaluating the performance of PC-ANN for the estimation of rice nitrogen concentration from canopy hyperspectral reflectance
- (2010) Qiuxiang Yi et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A new wrapper feature selection approach using neural network
- (2010) Md. Monirul Kabir et al. NEUROCOMPUTING
- A novel feature selection approach for biomedical data classification
- (2009) Yonghong Peng et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Feature subset selection in large dimensionality domains
- (2009) Iffat A. Gheyas et al. PATTERN RECOGNITION
- Imaging the invisible using modified digital still cameras for straightforward and low-cost archaeological near-infrared photography
- (2008) Geert Verhoeven JOURNAL OF ARCHAEOLOGICAL SCIENCE
- 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
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