Using Linear Regression, Random Forests, and Support Vector Machine with Unmanned Aerial Vehicle Multispectral Images to Predict Canopy Nitrogen Weight in Corn

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

(2020) Hainie Zha et al.   Remote Sensing

Intra-Field Canopy Nitrogen Retrieval from Unmanned Aerial Vehicle Imagery for Wheat and Corn Fields

(2020) Hwang Lee et al.   CANADIAN JOURNAL OF REMOTE SENSING

A bibliometric analysis on the use of unmanned aerial vehicles in agricultural and forestry studies

(2019) Elisabetta Raparelli et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

Hyperspectral-based Estimation of Leaf Nitrogen Content in Corn Using Optimal Selection of Multiple Spectral Variables

(2019) Fan et al.   SENSORS

Sentinel-1 Data for Winter Wheat Phenology Monitoring and Mapping

(2019) Ali Nasrallah et al.   Remote Sensing

Maize yield and nitrate loss prediction with machine learning algorithms

(2019) Mohsen Shahhosseini et al.   Environmental Research Letters

Monitoring Within-Field Variability of Corn Yield using Sentinel-2 and Machine Learning Techniques

(2019) Ahmed Kayad et al.   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

Exploring new spectral bands and vegetation indices for estimating nitrogen nutrition index of summer maize

(2018) Ben Zhao et al.   EUROPEAN JOURNAL OF AGRONOMY

Evaluating canopy spectral reflectance vegetation indices to estimate nitrogen use traits in hard winter wheat

(2018) Katherine Frels et al.   FIELD CROPS RESEARCH

Remote sensing-based crop biomass with water or light-driven crop growth models in wheat commercial fields

(2018) Isidro Campos et al.   FIELD CROPS RESEARCH

Vegetation Indices Combining the Red and Red-Edge Spectral Information for Leaf Area Index Retrieval

(2018) Qiaoyun Xie et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Estimating the Performance of Random Forest versus Multiple Regression for Predicting Prices of the Apartments

(2018) Marjan Čeh et al.   ISPRS International Journal of Geo-Information

UAV-based multispectral remote sensing for precision agriculture: A comparison between different cameras

(2018) Lei Deng 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

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

Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models

(2017) Jibo Yue 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

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Analysis of Vegetation Indices to Determine Nitrogen Application and Yield Prediction in Maize (Zea mays L.) from a Standard UAV Service

(2016) Ángel Maresma et al.   Remote Sensing

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

Improving estimation of summer maize nitrogen status with red edge-based spectral vegetation indices

(2014) Fei Li et al.   FIELD CROPS RESEARCH

Multispectral remote sensing for site-specific nitrogen fertilizer management

(2014) Nikrooz Bagheri et al.   PESQUISA AGROPECUARIA BRASILEIRA

Direct Georeferencing of Ultrahigh-Resolution UAV Imagery

(2013) Darren Turner et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND 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

Remote estimation of crop fractional vegetation cover: the use of noise equivalent as an indicator of performance of vegetation indices

(2013) Anatoly A. Gitelson   INTERNATIONAL JOURNAL OF REMOTE SENSING

Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3

(2012) J.G.P.W. Clevers et al.   International Journal of Applied Earth Observation and Geoinformation

The application of small unmanned aerial systems for precision agriculture: a review

(2012) Chunhua Zhang et al.   PRECISION AGRICULTURE

Sensor Correction of a 6-Band Multispectral Imaging Sensor for UAV Remote Sensing

(2012) Joshua Kelcey et al.   Remote Sensing

Estimating Canopy Nitrogen Concentration in Sugarcane Using Field Imaging Spectroscopy

(2012) Poonsak Miphokasap et al.   Remote Sensing

Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery

(2012) Steve Harwin et al.   Remote Sensing

Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content

(2011) Jan G. P. W. Clevers et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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

Non-destructive estimation of wheat leaf chlorophyll content from hyperspectral measurements through analytical model inversion

(2010) E. J. Botha et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat

(2010) Pengfei Chen et al.   REMOTE SENSING OF ENVIRONMENT

Estimating N status of winter wheat using a handheld spectrometer in the North China Plain

(2007) Fei Li et al.   FIELD CROPS RESEARCH