Identification of wheat powdery mildew using in-situ hyperspectral data and linear regression and support vector machines

Early cherry fruit pathogen disease detection based on data mining prediction

(2018) Milos Ilic et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Mapping wheat rust based on high spatial resolution satellite imagery

(2018) Dongmei Chen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform

(2018) Mohd Shahrimie Mohd Asaari et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Evaluation of wavelet spectral features in pathological detection and discrimination of yellow rust and powdery mildew in winter wheat with hyperspectral reflectance data

(2017) Yue Shi et al.   Journal of Applied Remote Sensing

Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers

(2017) Hongyan Zhu et al.   Scientific Reports

An Investigation Into Machine Learning Regression Techniques for the Leaf Rust Disease Detection Using Hyperspectral Measurement

(2016) Davoud Ashourloo et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Modeling of stability conditions of natural gas clathrate hydrates using least squares support vector machine approach

(2016) Mohammad M. Ghiasi et al.   JOURNAL OF MOLECULAR LIQUIDS

Multi-class Support Vector Machine classifiers using intrinsic and penalty graphs

(2016) Alexandros Iosifidis et al.   PATTERN RECOGNITION

Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context

(2015) Oscar Reyes et al.   NEUROCOMPUTING

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

Detection of powdery mildew in two winter wheat cultivars using canopy hyperspectral reflectance

(2013) Xueren Cao et al.   CROP PROTECTION

Hyperspectral Remote Sensing Data Analysis and Future Challenges

(2013) Jose M. Bioucas-Dias et al.   IEEE Geoscience and Remote Sensing Magazine

Detecting powdery mildew of winter wheat using leaf level hyperspectral measurements

(2012) Jing-Cheng Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines

(2012) D. Anguita et al.   IEEE Transactions on Neural Networks and Learning Systems

Spectral requirements on airborne hyperspectral remote sensing data for wheat disease detection

(2011) Thorsten Mewes et al.   PRECISION AGRICULTURE

Image processing methods for quantitatively detecting soybean rust from multispectral images

(2010) Di Cui et al.   BIOSYSTEMS ENGINEERING

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

Phase correlation based redundancy removal in feature weighting band selection for hyperspectral images

(2008) B. Demir et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Model selection for the LS-SVM. Application to handwriting recognition

(2008) Mathias M. Adankon et al.   PATTERN RECOGNITION

Monitoring leaf nitrogen status with hyperspectral reflectance in wheat

(2007) W. Feng et al.   EUROPEAN JOURNAL OF AGRONOMY