Development and Evaluation of a New Spectral Disease Index to Detect Wheat Fusarium Head Blight Using Hyperspectral Imaging

Nondestructive Measurement of Soluble Solids Content in Apple using Near Infrared Hyperspectral Imaging Coupled with Wavelength Selection Algorithm

(2019) Dongyan Zhang et al.   INFRARED PHYSICS & TECHNOLOGY

Development of Fusarium head blight classification index using hyperspectral microscopy images of winter wheat spikelets

(2019) Ning Zhang et al.   BIOSYSTEMS ENGINEERING

Detection of multi-tomato leaf diseases (late blight, target and bacterial spots) in different stages by using a spectral-based sensor

(2018) Jinzhu Lu et al.   Scientific Reports

Identification of Wheat Yellow Rust Using Optimal Three-Band Spectral Indices in Different Growth Stages

(2018) Qiong Zheng et al.   SENSORS

Feasibility assessment of multi-spectral satellite sensors in monitoring and discriminating wheat diseases and insects

(2017) Lin Yuan et al.   OPTIK

Application of Near-Infrared Hyperspectral Imaging with Variable Selection Methods to Determine and Visualize Caffeine Content of Coffee Beans

(2016) Chu Zhang et al.   Food and Bioprocess Technology

Multi-attribute node importance evaluation method based on Gini-coefficient in complex power grids

(2016) Fan Wenli et al.   IET Generation Transmission & Distribution

Improved remote sensing detection of wheat powdery mildew using dual-green vegetation indices

(2016) Wei Feng et al.   PRECISION AGRICULTURE

Hyperspectral Imaging Coupled with Random Frog and Calibration Models for Assessment of Total Soluble Solids in Mulberries

(2015) Yan-Ru Zhao et al.   Journal of Analytical Methods in Chemistry

New Optimized Spectral Indices for Identifying and Monitoring Winter Wheat Diseases

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

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

Using in-situ hyperspectral data for detecting and discriminating yellow rust disease from nutrient stresses

(2012) Jingcheng Zhang et al.   FIELD CROPS RESEARCH

Development of spectral indices for detecting and identifying plant diseases

(2012) A.-K. Mahlein et al.   REMOTE SENSING OF ENVIRONMENT

Early detection of Fusarium infection in wheat using hyper-spectral imaging

(2011) E. Bauriegel et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance

(2010) T. Rumpf et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Detecting Canopy Water Status Using Shortwave Infrared Reflectance Data From Polar Orbiting and Geostationary Platforms

(2010) Rasmus Fensholt et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Evaluating ten spectral vegetation indices for identifying rust infection in individual wheat leaves

(2008) R. Devadas et al.   PRECISION AGRICULTURE