UAV- and Machine Learning-Based Retrieval of Wheat SPAD Values at the Overwintering Stage for Variety Screening

A Robust Vegetation Index Based on Different UAV RGB Images to Estimate SPAD Values of Naked Barley Leaves

(2021) Yu Liu et al.   Remote Sensing

Estimation of nitrogen nutrition index in rice from UAV RGB images coupled with machine learning algorithms

(2021) Zhengchao Qiu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

(2020) Hainie Zha et al.   Remote Sensing

Comparison of machine learning methods for citrus greening detection on UAV multispectral images

(2020) Yubin Lan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Real-Time Detection on SPAD Value of Potato Plant Using an In-Field Spectral Imaging Sensor System

(2020) Ning Liu et al.   SENSORS

Precise Estimation of NDVI with a Simple NIR Sensitive RGB Camera and Machine Learning Methods for Corn Plants

(2020) Liangju Wang et al.   SENSORS

Predicting within-field variability in grain yield and protein content of winter wheat using UAV-based multispectral imagery and machine learning approaches

(2020) Xinbin Zhou et al.   PLANT PRODUCTION SCIENCE

Using Machine Learning for Estimating Rice Chlorophyll Content from In Situ Hyperspectral Data

(2020) Gangqiang An 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

Machine Learning to Estimate Surface Soil Moisture from Remote Sensing Data

(2020) Hamed Adab et al.   Water

Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam)

(2019) Pham Hoa et al.   Remote Sensing

Integrated Satellite, Unmanned Aerial Vehicle (UAV) and Ground Inversion of the SPAD of Winter Wheat in the Reviving Stage

(2019) Suming Zhang 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

Forest aboveground biomass estimation using machine learning regression algorithm in Yok Don National Park, Vietnam

(2019) An Thi Ngoc Dang et al.   Ecological Informatics

Application of feature selection methods and machine learning algorithms for saltmarsh biomass estimation using Worldview-2 imagery

(2019) Sikdar M. M. Rasel et al.   Geocarto International

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

Spectroscopic measurements and imaging of soil colour for field scale estimation of soil organic carbon

(2019) Asa Gholizadeh et al.   GEODERMA

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

Interactive effects of multiple vernalization (Vrn-1)- and photoperiod (Ppd-1)-related genes on the growth habit of bread wheat and their association with heading and flowering time

(2018) Shulin Chen et al.   BMC PLANT BIOLOGY

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

Spatial variability of chlorophyll and nitrogen content of rice from hyperspectral imagery

(2016) Shreedevi Moharana et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A Simplified Empirical Line Method of Radiometric Calibration for Small Unmanned Aircraft Systems-Based Remote Sensing

(2015) Chuyuan Wang et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Newly Combined Spectral Indices to Improve Estimation of Total Leaf Chlorophyll Content in Cotton

(2014) Xiuliang Jin et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Unsupervised multiple endmember spectral mixture analysis-based detection of opium poppy fields from an EO-1 Hyperion image in Helmand, Afghanistan

(2014) Jian-Jun Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

The applicability of empirical vegetation indices for determining leaf chlorophyll content over different leaf and canopy structures

(2013) H. Croft et al.   Ecological Complexity

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

(2013) Qiang Cao et al.   FIELD CROPS RESEARCH

A Support Vector Regression Approach to Estimate Forest Biophysical Parameters at the Object Level Using Airborne Lidar Transects and QuickBird Data

(2013) Gang Chen et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

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

An investigation into robust spectral indices for leaf chlorophyll estimation

(2011) Russell Main et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Estimating biophysical parameters of rice with remote sensing data using support vector machines

(2011) XiaoHua Yang et al.   Science China-Life Sciences

Estimating soil moisture using remote sensing data: A machine learning approach

(2009) Sajjad Ahmad et al.   ADVANCES IN WATER RESOURCES

Estimation of suspended sediment concentrations using Terra MODIS: An example from the Lower Yangtze River, China

(2009) J.-J. Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation

(2008) Chaoyang Wu et al.   AGRICULTURAL AND FOREST METEOROLOGY

Remote Estimation of Crop Chlorophyll Content Using Spectral Indices Derived From Hyperspectral Data

(2008) Driss Haboudane et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A broad-band leaf chlorophyll vegetation index at the canopy scale

(2008) M. Vincini et al.   PRECISION AGRICULTURE

Mapping Downy Brome (Bromus tectorum) Using Multidate AVIRIS Data

(2008) Nina V. Noujdina et al.   WEED SCIENCE