Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest Algorithm Associated to Spectral Vegetation Indices from UAV-Imagery
出版年份 2019 全文链接
标题
Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest Algorithm Associated to Spectral Vegetation Indices from UAV-Imagery
作者
关键词
-
出版物
Remote Sensing
Volume 11, Issue 24, Pages 2925
出版商
MDPI AG
发表日期
2019-12-06
DOI
10.3390/rs11242925
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Predicting Rice Grain Yield Based on Dynamic Changes in Vegetation Indexes during Early to Mid-Growth Stages
- (2019) Ke Zhang et al. Remote Sensing
- Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges
- (2019) Tien Pham et al. Remote Sensing
- Comparison of machine learning algorithms for classification of LiDAR points for characterization of canola canopy structure
- (2019) Lian Wu et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations
- (2019) Aleksandra Wolanin et al. REMOTE SENSING OF ENVIRONMENT
- Non-Invasive Sensing of Nitrogen in Plant Using Digital Images and Machine Learning for Brassica Campestris ssp. Chinensis L.
- (2019) Xin Xiong et al. SENSORS
- A New Integrated Vegetation Index for the Estimation of Winter Wheat Leaf Chlorophyll Content
- (2019) Cui et al. Remote Sensing
- A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat
- (2019) Syed Haleem Shah et al. Remote Sensing
- Land Cover Classification from fused DSM and UAV Images Using Convolutional Neural Networks
- (2019) Husam A. H. Al-Najjar et al. Remote Sensing
- Modeling Mid-Season Rice Nitrogen Uptake Using Multispectral Satellite Data
- (2019) James Brinkhoff et al. Remote Sensing
- Deep Learning for Soil and Crop Segmentation from Remotely Sensed Data
- (2019) Jack Dyson et al. Remote Sensing
- Estimating Nitrogen from Structural Crop Traits at Field Scale—A Novel Approach Versus Spectral Vegetation Indices
- (2019) Nora Tilly et al. Remote Sensing
- In-Season Diagnosis of Rice Nitrogen Status Using Proximal Fluorescence Canopy Sensor at Different Growth Stages
- (2019) Shanyu Huang et al. Remote Sensing
- 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
- New Insights into Soybean Biological Nitrogen Fixation
- (2018) Ignacio A. Ciampitti et al. AGRONOMY JOURNAL
- 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
- Remote Sensing of Leaf and Canopy Nitrogen Status in Winter Wheat (Triticum aestivum L.) Based on N-PROSAIL Model
- (2018) Zhenhai Li et al. 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
- A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle
- (2018) Hengbiao Zheng et al. Remote Sensing
- Deep learning based multi-temporal crop classification
- (2018) Liheng Zhong et al. REMOTE SENSING OF ENVIRONMENT
- 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
- Potential of RapidEye and WorldView-2 Satellite Data for Improving Rice Nitrogen Status Monitoring at Different Growth Stages
- (2017) Shanyu Huang et al. Remote Sensing
- Estimating potato leaf chlorophyll content using ratio vegetation indices
- (2016) Lammert Kooistra et al. Remote Sensing Letters
- LeafArea: an R package for rapid digital image analysis of leaf area
- (2015) Masatoshi Katabuchi ECOLOGICAL RESEARCH
- Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data
- (2015) Abel Ramoelo 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
- Estimating Canopy Nitrogen Content in a Heterogeneous Grassland with Varying Fire and Grazing Treatments: Konza Prairie, Kansas, USA
- (2014) Bohua Ling et al. Remote Sensing
- Assessing the Robustness of Vegetation Indices to Estimate Wheat N in Mediterranean Environments
- (2014) Davide Cammarano et al. Remote Sensing
- Nitrogen Status Assessment for Variable Rate Fertilization in Maize through Hyperspectral Imagery
- (2014) Chiara Cilia et al. Remote Sensing
- Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels
- (2013) M. Schlemmer et al. International Journal of Applied Earth Observation and Geoinformation
- A visible band index for remote sensing leaf chlorophyll content at the canopy scale
- (2012) E. Raymond Hunt et al. International Journal of Applied Earth Observation and Geoinformation
- Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data
- (2012) Elfatih M. Abdel-Rahman et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- 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
- Non-point source pollution in Indian agriculture: Estimation of nitrogen losses from rice crop using remote sensing and GIS
- (2010) Abha Chhabra et al. International Journal of Applied Earth Observation and Geoinformation
- New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat
- (2010) Pengfei Chen et al. REMOTE SENSING OF ENVIRONMENT
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search