Modeling Hyperspectral Response of Water-Stress Induced Lettuce Plants Using Artificial Neural Networks
出版年份 2019 全文链接
标题
Modeling Hyperspectral Response of Water-Stress Induced Lettuce Plants Using Artificial Neural Networks
作者
关键词
-
出版物
Remote Sensing
Volume 11, Issue 23, Pages 2797
出版商
MDPI AG
发表日期
2019-11-26
DOI
10.3390/rs11232797
参考文献
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- (2019) Kerim Karadağ et al. Sustainable Computing-Informatics & Systems
- UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence
- (2019) Yiannis Ampatzidis et al. Remote Sensing
- Assessing crop damage from dicamba on non‐dicamba‐tolerant soybean by hyperspectral imaging through machine learning
- (2019) Jingcheng Zhang et al. PEST MANAGEMENT SCIENCE
- Spatially-explicit modelling with support of hyperspectral data can improve prediction of plant traits
- (2019) Alby D. Rocha et al. REMOTE SENSING OF ENVIRONMENT
- Analysis of Vegetation Red Edge with Different Illuminated/Shaded Canopy Proportions and to Construct Normalized Difference Canopy Shadow Index
- (2019) Xu et al. Remote Sensing
- UAV-Based Remote Sensing Technique to Detect Citrus Canker Disease Utilizing Hyperspectral Imaging and Machine Learning
- (2019) Jaafar Abdulridha et al. Remote Sensing
- Hyperspectral Leaf Reflectance as Proxy for Photosynthetic Capacities: An Ensemble Approach Based on Multiple Machine Learning Algorithms
- (2019) Peng Fu et al. Frontiers in Plant Science
- Improvement of leaf nitrogen content inference in Valencia-orange trees applying spectral analysis algorithms in UAV mounted-sensor images
- (2019) Lucas Prado Osco et al. International Journal of Applied Earth Observation and Geoinformation
- The influence of plant growth-promoting rhizobacteria in plant tolerance to abiotic stress: a survival strategy
- (2018) Matthew Chekwube Enebe et al. APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
- Hyperspectral machine vision as a tool for water stress severity assessment in soilless tomato crop
- (2018) A. Elvanidi et al. BIOSYSTEMS ENGINEERING
- Retrieval of the canopy chlorophyll content from Sentinel-2 spectral bands to estimate nitrogen uptake in intensive winter wheat cropping systems
- (2018) Cindy Delloye et al. REMOTE SENSING OF ENVIRONMENT
- Modelling Water Stress in a Shiraz Vineyard Using Hyperspectral Imaging and Machine Learning
- (2018) Kyle Loggenberg et al. Remote Sensing
- Analysis of Airborne Optical and Thermal Imagery for Detection of Water Stress Symptoms
- (2018) Max Gerhards et al. Remote Sensing
- Quantitative identification of crop disease and nitrogen-water stress in winter wheat using continuous wavelet analysis
- (2018) Wenjiang Huang et al. International Journal of Agricultural and Biological Engineering
- Estimation of nitrogen and carbon content from soybean leaf reflectance spectra using wavelet analysis under shade stress
- (2018) Junxu Chen et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Modeling alpine grassland forage phosphorus based on hyperspectral remote sensing and a multi-factor machine learning algorithm in the east of Tibetan Plateau, China
- (2018) Jinlong Gao et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Estimation of Leaf Nitrogen Content in Wheat Using New Hyperspectral Indices and a Random Forest Regression Algorithm
- (2018) Liang Liang et al. Remote Sensing
- Comparison of various modelling approaches for water deficit stress monitoring in rice crop through hyperspectral remote sensing
- (2018) Gopal Krishna et al. AGRICULTURAL WATER MANAGEMENT
- Detecting and Mapping Root-Knot Nematode Infection in Coffee Crop Using Remote Sensing Measurements
- (2017) George Deroco Martins et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Early Detection of Plant Physiological Responses to Different Levels of Water Stress Using Reflectance Spectroscopy
- (2017) Matthew Maimaitiyiming et al. Remote Sensing
- Advanced Spectral Classifiers for Hyperspectral Images: A review
- (2017) Pedram Ghamisi et al. IEEE Geoscience and Remote Sensing Magazine
- Spatial variability of chlorophyll and nitrogen content of rice from hyperspectral imagery
- (2016) Shreedevi Moharana et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Assessment of RapidEye vegetation indices for estimation of leaf area index and biomass in corn and soybean crops
- (2015) Angela Kross et al. International Journal of Applied Earth Observation and Geoinformation
- Estimation of foliar chlorophyll and nitrogen content in an ombrotrophic bog from hyperspectral data: Scaling from leaf to image
- (2015) M. Kalacska et al. REMOTE SENSING OF ENVIRONMENT
- High-Resolution Airborne UAV Imagery to Assess Olive Tree Crown Parameters Using 3D Photo Reconstruction: Application in Breeding Trials
- (2015) Ramón Díaz-Varela et al. Remote Sensing
- Inter-comparison of hemispherical conical reflectance factors (HCRF) measured with four fibre-based spectrometers
- (2013) K. Anderson et al. OPTICS EXPRESS
- A Review of Methods for Sensing the Nitrogen Status in Plants: Advantages, Disadvantages and Recent Advances
- (2013) Rafael Muñoz-Huerta et al. SENSORS
- 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
- Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera
- (2011) P.J. Zarco-Tejada et al. REMOTE SENSING OF ENVIRONMENT
- Estimation of plant water content by spectral absorption features centered at 1,450 nm and 1,940 nm regions
- (2008) Jie Wang et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
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