Estimating Plant Nitrogen Concentration of Rice through Fusing Vegetation Indices and Color Moments Derived from UAV-RGB Images

Canopy Top, Height and Photosynthetic Pigment Estimation Using Parrot Sequoia Multispectral Imagery and the Unmanned Aerial Vehicle (UAV)

(2021) Veronika Kopačková-Strnadová et al.   Remote Sensing

Improved Estimation of Winter Wheat Aboveground Biomass Using Multiscale Textures Extracted from UAV-Based Digital Images and Hyperspectral Feature Analysis

(2021) Yuanyuan Fu et al.   Remote Sensing

Evaluation of a UAV-mounted consumer grade camera with different spectral modifications and two handheld spectral sensors for rapeseed growth monitoring: performance and influencing factors

(2020) Jian Zhang et al.   PRECISION AGRICULTURE

A Systematic Review of the Factors Influencing the Estimation of Vegetation Aboveground Biomass Using Unmanned Aerial Systems

(2020) Lucy G. Poley et al.   Remote Sensing

Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning

(2020) Maitiniyazi Maimaitijiang et al.   Remote Sensing

Enhancing the Nitrogen Signals of Rice Canopies across Critical Growth Stages through the Integration of Textural and Spectral Information from Unmanned Aerial Vehicle (UAV) Multispectral Imagery

(2020) Hengbiao Zheng et al.   Remote Sensing

A near real-time deep learning approach for detecting rice phenology based on UAV images

(2020) Qi Yang et al.   AGRICULTURAL AND FOREST METEOROLOGY

Monitoring the vegetation vigor in heterogeneous citrus and olive orchards. A multiscale object-based approach to extract trees’ crowns from UAV multispectral imagery

(2020) Giuseppe Modica et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Influence of Soil Properties on Maize and Wheat Nitrogen Status Assessment from Sentinel-2 Data

(2020) Alberto Crema et al.   Remote Sensing

Forecasting Corn Yield With Machine Learning Ensembles

(2020) Mohsen Shahhosseini et al.   Frontiers in Plant Science

Mapping canopy nitrogen in European forests using remote sensing and environmental variables with the random forests method

(2020) Yasmina Loozen et al.   REMOTE SENSING OF ENVIRONMENT

UAV-Based LiDAR for High-Throughput Determination of Plant Height and Above-Ground Biomass of the Bioenergy Grass Arundo donax

(2020) Mauro Maesano et al.   Remote Sensing

Qualifications of Rice Growth Indicators Optimized at Different Growth Stages Using Unmanned Aerial Vehicle Digital Imagery

(2020) Zhengchao Qiu et al.   Remote Sensing

Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine Learning Techniques

(2020) Lucas Prado Osco et al.   Remote Sensing

Winter Wheat Nitrogen Status Estimation Using UAV-Based RGB Imagery and Gaussian Processes Regression

(2020) Yuanyuan Fu et al.   Remote Sensing

Integrating Multi-Source Data for Rice Yield Prediction across China using Machine Learning and Deep Learning Approaches

(2020) Juan Cao et al.   AGRICULTURAL AND FOREST METEOROLOGY

Wheat yield predictions at a county and field scale with deep learning, machine learning, and google earth engine

(2020) Juan Cao et al.   EUROPEAN JOURNAL OF AGRONOMY

Evaluation of grain yield based on digital images of rice canopy

(2019) Kailou Liu et al.   Plant Methods

Validation of agronomic UAV and field measurements for tomato varieties

(2019) Juan Enciso et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images

(2019) Qi Yang et al.   FIELD CROPS RESEARCH

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

Vegetation Index Weighted Canopy Volume Model (CVMVI) for soybean biomass estimation from Unmanned Aerial System-based RGB imagery

(2019) Maitiniyazi Maimaitijiang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Estimating Above-Ground Biomass of Maize Using Features Derived from UAV-Based RGB Imagery

(2019) Yaxiao Niu et al.   Remote Sensing

Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation

(2019) Songyang Li et al.   Remote Sensing

Sensitivity of Vegetation Indices for Estimating Vegetative N Status in Winter Wheat

(2019) Lukas Prey et al.   SENSORS

Using Digital Cameras on an Unmanned Aerial Vehicle to Derive Optimum Color Vegetation Indices for Leaf Nitrogen Concentration Monitoring in Winter Wheat

(2019) Jiang et al.   Remote Sensing

Estimating the Leaf Area Index of Winter Wheat Based on Unmanned Aerial Vehicle RGB-Image Parameters

(2019) Umut Hasan et al.   Sustainability

Adaptive Trigonometric Transformation Function With Image Contrast and Color Enhancement: Application to Unmanned Aerial System Imagery

(2018) Paheding Sidike et al.   IEEE Geoscience and Remote Sensing Letters

An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery

(2018) Ana de Castro 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

Estimation of Leaf Nitrogen Content in Wheat Using New Hyperspectral Indices and a Random Forest Regression Algorithm

(2018) Liang Liang et al.   Remote Sensing

Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives

(2017) Guijun Yang et al.   Frontiers in Plant Science

Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system

(2016) Wang Li et al.   ECOLOGICAL INDICATORS

Development of methods to improve soybean yield estimation and predict plant maturity with an unmanned aerial vehicle based platform

(2016) Neil Yu et al.   REMOTE SENSING OF ENVIRONMENT

Examining spectral reflectance features related to foliar nitrogen in forests: Implications for broad-scale nitrogen mapping

(2016) Lucie C. Lepine et al.   REMOTE SENSING OF ENVIRONMENT

Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley

(2015) Juliane Bendig et al.   International Journal of Applied Earth Observation and Geoinformation

Low-weight and UAV-based Hyperspectral Full-frame Cameras for Monitoring Crops: Spectral Comparison with Portable Spectroradiometer Measurements

(2015) Georg Bareth et al.   Photogrammetrie Fernerkundung 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

Satellite Remote Sensing-Based In-Season Diagnosis of Rice Nitrogen Status in Northeast China

(2015) Shanyu Huang et al.   Remote Sensing

Evaluation of optical sensor measurements of canopy reflectance and of leaf flavonols and chlorophyll contents to assess crop nitrogen status of muskmelon

(2014) Francisco M. Padilla et al.   EUROPEAN JOURNAL OF AGRONOMY

Assessment of rice leaf chlorophyll content using visible bands at different growth stages at both the leaf and canopy scale

(2014) M.M. Saberioon et al.   International Journal of Applied Earth Observation and Geoinformation

Rapid determination of leaf area and plant height by using light curtain arrays in four species with contrasting shoot architecture

(2014) Dimitrios Fanourakis et al.   Plant Methods

Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging

(2014) Juliane Bendig et al.   Remote Sensing

Estimating nitrogen status of rice using the image segmentation of G-R thresholding method

(2013) Yuan Wang et al.   FIELD CROPS RESEARCH

Remotely detecting canopy nitrogen concentration and uptake of paddy rice in the Northeast China Plain

(2013) Kang Yu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Estimating leaf nitrogen concentration with three-band vegetation indices in rice and wheat

(2012) Wei Wang et al.   FIELD CROPS RESEARCH

Estimating Canopy Nitrogen Concentration in Sugarcane Using Field Imaging Spectroscopy

(2012) Poonsak Miphokasap et al.   Remote Sensing

Accurate inference of shoot biomass from high-throughput images of cereal plants

(2011) Mahmood R Golzarian et al.   Plant Methods

Application of day and night digital photographs for estimating maize biophysical characteristics

(2011) Toshihiro Sakamoto et al.   PRECISION AGRICULTURE

Evaluation of climate change impacts and adaptation measures for rice cultivation in Northeast Thailand

(2010) MS Babel et al.   CLIMATE RESEARCH

Estimating the nitrogen status of crops using a digital camera

(2010) Y. Li et al.   FIELD CROPS RESEARCH

Assessing newly developed and published vegetation indices for estimating rice leaf nitrogen concentration with ground- and space-based hyperspectral reflectance

(2010) Y.C. Tian et al.   FIELD CROPS RESEARCH

Plant nitrogen concentration in paddy rice from field canopy hyperspectral radiometry

(2009) Daniela Stroppiana et al.   FIELD CROPS RESEARCH

Verification of color vegetation indices for automated crop imaging applications

(2008) George E. Meyer et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE