A Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements

Hyperspectral Classification of Plants: A Review of Waveband Selection Generalisability

(2020) Andrew Hennessy et al.   Remote Sensing

Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning

(2020) Hainie Zha et al.   Remote Sensing

Hyperspectral Analysis of Leaf Pigments and Nutritional Elements in Tallgrass Prairie Vegetation

(2019) Bohua Ling et al.   Frontiers in Plant Science

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

Early Visual Detection of Wheat Stripe Rust Using Visible/Near-Infrared Hyperspectral Imaging

(2019) Zhifeng Yao et al.   SENSORS

Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data

(2019) Liang Han et al.   Plant Methods

Analyzing the performance of the first-derivative fluorescence spectrum for estimating leaf nitrogen concentration

(2019) Jian Yang et al.   OPTICS EXPRESS

Comparing laser induced breakdown spectroscopy, near infrared spectroscopy, and their integration for simultaneous multi-elemental determination of micro- and macronutrients in vegetable samples

(2019) Denilson M. de Oliveira et al.   ANALYTICA CHIMICA ACTA

Estimation and mapping of nitrogen content in apple trees at leaf and canopy levels using hyperspectral imaging

(2019) Xujun Ye et al.   PRECISION AGRICULTURE

Monitoring leaf potassium content using hyperspectral vegetation indices in rice leaves

(2019) Jingshan Lu et al.   PRECISION AGRICULTURE

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

Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia

(2019) Puyu Feng et al.   AGRICULTURAL SYSTEMS

Selection of the optimal bands of first-derivative fluorescence characteristics for leaf nitrogen concentration estimation

(2019) Jian Yang et al.   APPLIED OPTICS

Deep learning in remote sensing applications: A meta-analysis and review

(2019) Lei Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Support vector machine regression on selected wavelength regions for quantitative analysis of caffeine in tea leaves by near infrared spectroscopy

(2019) Somdeb Chanda et al.   JOURNAL OF CHEMOMETRICS

Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks

(2019) Ben G. Weinstein et al.   Remote Sensing

Spectral Response Analysis: An Indirect and Non-Destructive Methodology for the Chlorophyll Quantification of Biocrusts

(2019) José Raúl Román et al.   Remote Sensing

Multitemporal Chlorophyll Mapping in Pome Fruit Orchards from Remotely Piloted Aircraft Systems

(2019) Yasmin Vanbrabant 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

Evaluation of Leaf N Concentration in Winter Wheat Based on Discrete Wavelet Transform Analysis

(2019) Fenling Li et al.   Remote Sensing

Estimating Maize-Leaf Coverage in Field Conditions by Applying a Machine Learning Algorithm to UAV Remote Sensing Images

(2019) Chengquan Zhou et al.   Applied Sciences-Basel

Crop yield prediction with deep convolutional neural networks

(2019) Petteri Nevavuori et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Assessing macro-element content in vine leaves and grape berries of vitis vinifera by using near-infrared spectroscopy and chemometrics

(2019) Sebastien Cuq et al.   INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY

Nondestructive diagnostics of magnesium deficiency based on distribution features of chlorophyll concentrations map on cucumber leaf

(2019) Jiyong Shi et al.   JOURNAL OF PLANT NUTRITION

Prediction of macronutrients in plant leaves using chemometric analysis and wavelength selection

(2019) Mohammad Malmir et al.   JOURNAL OF SOILS AND SEDIMENTS

Modeling Mid-Season Rice Nitrogen Uptake Using Multispectral Satellite Data

(2019) James Brinkhoff 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

Estimation of chlorophyll content in intertidal mangrove leaves with different thicknesses using hyperspectral data

(2019) Yunxia Zhao et al.   ECOLOGICAL INDICATORS

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

High resolution wheat yield mapping using Sentinel-2

(2019) Merryn L. Hunt et al.   REMOTE SENSING OF ENVIRONMENT

Modeling Hyperspectral Response of Water-Stress Induced Lettuce Plants Using Artificial Neural Networks

(2019) Lucas Prado Osco et al.   Remote Sensing

The Development of Hyperspectral Distribution Maps to Predict the Content and Distribution of Nitrogen and Water in Wheat (Triticum aestivum)

(2019) Brooke Bruning et al.   Frontiers in Plant Science

Toward a generalized predictive model of grapevine water status in Douro region from hyperspectral data

(2019) Isabel Pôças et al.   AGRICULTURAL AND FOREST METEOROLOGY

A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery

(2019) Lucas Prado Osco et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest Algorithm Associated to Spectral Vegetation Indices from UAV-Imagery

(2019) Lucas Prado Osco et al.   Remote Sensing

Relief-Based Feature Selection: Introduction and Review

(2018) Ryan J. Urbanowicz et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Nutrient quantification in fresh and dried mixtures of ryegrass and clover leaves using laser-induced breakdown spectroscopy

(2018) H. Jull et al.   PRECISION AGRICULTURE

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

Predicting oil palm leaf nutrient contents in kalimantan, indonesia by measuring reflectance with a spectroradiometer

(2018) Heri Santoso et al.   INTERNATIONAL JOURNAL OF 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

Estimating leaf chlorophyll content in tobacco based on various canopy hyperspectral parameters

(2018) Ting Guo et al.   Journal of Ambient Intelligence and Humanized Computing

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

Prediction of cadmium concentration in brown rice before harvest by hyperspectral remote sensing

(2018) Weihong Zhou et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

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

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

Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

(2017) John E. Ball et al.   Journal of Applied Remote Sensing

Rapid estimation of nutritional elements on citrus leaves by near infrared reflectance spectroscopy

(2015) Luis Galvez-Sola et al.   Frontiers in Plant Science

A Systematic Comparison of Supervised Classifiers

(2014) Diego Raphael Amancio et al.   PLoS One

Urban tree species mapping using hyperspectral and lidar data fusion

(2014) Michael Alonzo et al.   REMOTE SENSING OF ENVIRONMENT

Inter-comparison of hemispherical conical reflectance factors (HCRF) measured with four fibre-based spectrometers

(2013) K. Anderson et al.   OPTICS EXPRESS

Identification of Water Stress in Citrus Leaves Using Sensing Technologies

(2013) Kaitlin Johnson et al.   Agronomy-Basel

The thermal zones of the Earth according to the duration of hot, moderate and cold periods and to the impact of heat on the organic world

(2011) Wladimir Köppen   METEOROLOGISCHE ZEITSCHRIFT

Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery

(2008) Jonathan Cheung-Wai Chan et al.   REMOTE SENSING OF ENVIRONMENT