Canopy Hyperspectral Sensing of Paddy Fields at the Booting Stage and PLS Regression can Assess Grain Yield

Estimating nitrogen status of rice canopy using hyperspectral reflectance combined with BPSO-SVR in cold region

(2018) Kezhu Tan et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Predicting grain yield in rice using multi-temporal vegetation indices from UAV-based multispectral and digital imagery

(2017) X. Zhou et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Vis-NIR Spectroscopy and PLS Regression with Waveband Selection for Estimating the Total C and N of Paddy Soils in Madagascar

(2017) Kensuke Kawamura et al.   Remote Sensing

Timing of rice maturity in China is affected more by transplanting date than by climate change

(2016) Hongfang Zhao et al.   AGRICULTURAL AND FOREST METEOROLOGY

Modeling the effects of N application on growth, yield and plant properties associated with the occurrence of chalky grains of rice

(2016) Hiroe Yoshida et al.   PLANT PRODUCTION SCIENCE

Evaluation of red and red-edge reflectance-based vegetation indices for rice biomass and grain yield prediction models in paddy fields

(2016) Yumiko Kanke et al.   PRECISION AGRICULTURE

Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy

(2015) Clement Atzberger et al.   International Journal of Applied Earth Observation and Geoinformation

Estimate Leaf Chlorophyll of Rice Using Reflectance Indices and Partial Least Squares

(2015) Kang Yu et al.   Photogrammetrie Fernerkundung Geoinformation

Improving in-season estimation of rice yield potential and responsiveness to topdressing nitrogen application with Crop Circle active crop canopy sensor

(2015) Qiang Cao et al.   PRECISION AGRICULTURE

Multi-Temporal Detection of Rice Phenological Stages Using Canopy Spectrum

(2014) Lin WANG et al.   Rice Science

Winter wheat biomass estimation based on spectral indices, band depth analysis and partial least squares regression using hyperspectral measurements

(2013) Yuanyuan Fu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Reflectance estimation of canopy nitrogen content in winter wheat using optimised hyperspectral spectral indices and partial least squares regression

(2013) Fei Li et al.   EUROPEAN JOURNAL OF AGRONOMY

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

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

Genetic algorithm-based partial least squares regression for estimating legume content in a grass-legume mixture using field hyperspectral measurements

(2013) Kensuke Kawamura et al.   GRASSLAND SCIENCE

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

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

Analysis of Crop Reflectance for Estimating Biomass in Rice Canopies at Different Phenological StagesReflexionsanalyse zur Abschätzung der Biomasse von Reis in unterschiedlichen phänologischen Stadien

(2013) Martin Leon Gnyp et al.   Photogrammetrie Fernerkundung Geoinformation

Active canopy sensor-based precision N management strategy for rice

(2012) Yinkun Yao et al.   Agronomy for Sustainable Development

Prediction of grain yield using reflectance spectra of canopy and leaves in maize plants grown under different water regimes

(2012) V.S. Weber et al.   FIELD CROPS RESEARCH

Quantification of border effect on grain yield measurement of hybrid rice

(2012) Kai Wang et al.   FIELD CROPS RESEARCH

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

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

Relationships of Spectral Vegetation Indices with Rice Biomass and Grain Yield at Different Sensor View Angles

(2011) B. Tubaña et al.   AGRONOMY JOURNAL

Forcing a wheat crop model with LAI data to access agronomic variables: Evaluation of the impact of model and LAI uncertainties and comparison with an empirical approach

(2011) R. Casa et al.   EUROPEAN JOURNAL OF AGRONOMY

N applications that increase plant N during panicle development are highly effective in increasing spikelet number in rice

(2011) Yoshiaki Kamiji et al.   FIELD CROPS RESEARCH

Multivariate analysis of nitrogen content for rice at the heading stage using reflectance of airborne hyperspectral remote sensing

(2011) Chanseok Ryu et al.   FIELD CROPS RESEARCH

Soil properties prediction of western Mediterranean islands with similar climatic environments by means of mid-infrared diffuse reflectance spectroscopy

(2010) L. P. D’Acqui et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Testing genetic algorithm as a tool to select relevant wavebands from field hyperspectral data for estimating pasture mass and quality in a mixed sown pasture using partial least squares regression

(2010) Kensuke Kawamura et al.   GRASSLAND SCIENCE

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

A process model for explaining genotypic and environmental variation in growth and yield of rice based on measured plant N accumulation

(2009) Hiroe Yoshida et al.   FIELD CROPS RESEARCH

Estimating forage biomass and quality in a mixed sown pasture based on partial least squares regression with waveband selection

(2008) Kensuke Kawamura et al.   GRASSLAND SCIENCE

LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements

(2008) Roshanak Darvishzadeh et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING