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

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

(2019) Liang Han et al.   Plant Methods

Estimating the nitrogen nutrition index in grass seed crops using a UAV-mounted multispectral camera

(2019) Hui Wang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Unmanned Aerial Vehicle for Remote Sensing Applications—A Review

(2019) Huang Yao et al.   Remote Sensing

In-Season Diagnosis of Winter Wheat Nitrogen Status in Smallholder Farmer Fields Across a Village Using Unmanned Aerial Vehicle-Based Remote Sensing

(2019) Zhichao Chen et al.   Agronomy-Basel

Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

(2018) Anna Chlingaryan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Proximal Optical Sensors for Nitrogen Management of Vegetable Crops: A Review

(2018) Francisco M. Padilla et al.   SENSORS

Integrating Airborne Hyperspectral, Topographic, and Soil Data for Estimating Pasture Quality Using Recursive Feature Elimination with Random Forest Regression

(2018) Rajasheker Pullanagari et al.   Remote Sensing

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

Machine Learning in Agriculture: A Review

(2018) Konstantinos Liakos et al.   SENSORS

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

Potential of UAV-Based Active Sensing for Monitoring Rice Leaf Nitrogen Status

(2018) Songyang Li et al.   Frontiers in Plant Science

Shrub biomass estimation in semi-arid sandland ecosystem based on remote sensing technology

(2018) Wei Chen et al.   Global Ecology and Conservation

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

Improving nitrogen use efficiency with minimal environmental risks using an active canopy sensor in a wheat-maize cropping system

(2017) Qiang Cao et al.   FIELD CROPS RESEARCH

Modeling Managed Grassland Biomass Estimation by Using Multitemporal Remote Sensing Data—A Machine Learning Approach

(2017) Iftikhar Ali et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?

(2017) E. Raymond Hunt et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Estimation of coniferous forest aboveground biomass with aggregated airborne small-footprint LiDAR full-waveforms

(2017) Haiming Qin et al.   OPTICS EXPRESS

Critical Nitrogen Dilution Curve for Rice Nitrogen Status Diagnosis in Northeast China

(2017) Shanyu Huang et al.   PEDOSPHERE

Evaluating different approaches to non-destructive nitrogen status diagnosis of rice using portable RapidSCAN active canopy sensor

(2017) Junjun Lu et al.   Scientific Reports

Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models

(2017) Huanhuan Yuan et al.   Remote Sensing

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

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

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

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

Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications

(2017) Jinru Xue et al.   Journal of Sensors

High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models

(2017) Gerald Forkuor et al.   PLoS One

Wheat yield prediction using machine learning and advanced sensing techniques

(2016) X.E. Pantazi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Quantitative modelling for leaf nitrogen content of winter wheat using UAV-based hyperspectral data

(2016) Haiying Liu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Unmanned Aerial Vehicle to Estimate Nitrogen Status of Turfgrasses

(2016) Lisa Caturegli et al.   PLoS One

Unmanned aerial vehicle canopy reflectance data detects potassium deficiency and green peach aphid susceptibility in canola

(2016) Dustin Severtson et al.   PRECISION AGRICULTURE

A survey of machine learning for big data processing

(2016) Junfei Qiu et al.   EURASIP Journal on Advances in Signal Processing

Active Optical Sensing of Spring Maize for In-Season Diagnosis of Nitrogen Status Based on Nitrogen Nutrition Index

(2016) Tingting Xia et al.   Remote Sensing

In-Season Nitrogen Status Assessment and Yield Estimation Using Hyperspectral Vegetation Indices in a Potato Crop

(2015) T. Morier et al.   AGRONOMY JOURNAL

Multi-temporal imaging using an unmanned aerial vehicle for monitoring a sunflower crop

(2015) Francisco Agüera Vega et al.   BIOSYSTEMS ENGINEERING

Active canopy sensing of winter wheat nitrogen status: An evaluation of two sensor systems

(2015) Qiang Cao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Comparing the performance of active and passive reflectance sensors to assess the normalized relative canopy temperature and grain yield of drought-stressed barley cultivars

(2015) Salah Elsayed et al.   FIELD CROPS RESEARCH

Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture

(2015) Manal Elarab et al.   International Journal of Applied Earth Observation and Geoinformation

Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs)

(2015) Gonzalo Pajares   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Evaluation of Six Algorithms to Monitor Wheat Leaf Nitrogen Concentration

(2015) Xia Yao et al.   Remote Sensing

Combined Multi-Temporal Optical and Radar Parameters for Estimating LAI and Biomass in Winter Wheat Using HJ and RADARSAR-2 Data

(2015) Xiuliang Jin et al.   Remote Sensing

Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data

(2015) Iftikhar Ali 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

Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an agricultural setting (Southern Spain)

(2014) Victor Rodriguez-Galiano et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Machine learning for neuroimaging with scikit-learn

(2014) Alexandre Abraham et al.   Frontiers in Neuroinformatics

Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor

(2013) Qiang Cao et al.   FIELD CROPS RESEARCH

Hyperspectral canopy sensing of paddy rice aboveground biomass at different growth stages

(2013) Martin L. Gnyp et al.   FIELD CROPS RESEARCH

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

Diagnostic mapping of canopy nitrogen content in rice based on hyperspectral measurements

(2012) Yoshio Inoue et al.   REMOTE SENSING OF ENVIRONMENT

Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars

(2011) Klaus Erdle et al.   FIELD CROPS RESEARCH

Long-term experiments for sustainable nutrient management in China. A review

(2010) Yuxin Miao et al.   Agronomy for Sustainable Development

SWIR-based spectral indices for assessing nitrogen content in potato fields

(2010) I. Herrmann et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Value of Using Different Vegetative Indices to Quantify Agricultural Crop Characteristics at Different Growth Stages under Varying Management Practices

(2010) Jerry L. Hatfield et al.   Remote Sensing

Diagnosis tool for plant and crop N status in vegetative stage

(2008) Gilles Lemaire et al.   EUROPEAN JOURNAL OF AGRONOMY

Combining chlorophyll meter readings and high spatial resolution remote sensing images for in-season site-specific nitrogen management of corn

(2008) Yuxin Miao et al.   PRECISION AGRICULTURE