Hyperspectral imaging of symptoms induced by Rhizoctonia solani in sugar beet: comparison of input data and different machine learning algorithms

The Development of Hyperspectral Distribution Maps to Predict the Content and Distribution of Nitrogen and Water in Wheat (Triticum aestivum)

(2019) Brooke Bruning et al.   Frontiers in Plant Science

Hyperspectral Sensors and Imaging Technologies in Phytopathology: State of the Art

(2018) A.-K. Mahlein et al.   Annual Review of Phytopathology

Penetration and scattering—Two optical phenomena to consider when applying proximal remote sensing technologies to object classifications

(2018) Christian Nansen   PLoS One

A Novel Approach to Assess Salt Stress Tolerance in Wheat Using Hyperspectral Imaging

(2018) Ali Moghimi et al.   Frontiers in Plant Science

Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective

(2017) Stefan Thomas et al.   Journal of Plant Diseases and Protection

Calibration of hyperspectral close-range pushbroom cameras for plant phenotyping

(2015) Jan Behmann et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Hyperspectral and Thermal Imaging of Oilseed Rape (Brassica napus) Response to Fungal Species of the Genus Alternaria

(2015) Piotr Baranowski et al.   PLoS One

A review of advanced machine learning methods for the detection of biotic stress in precision crop protection

(2014) Jan Behmann et al.   PRECISION AGRICULTURE

Early detection of sugar beet pathogen Ramularia beticola in leaf and air samples using qPCR

(2013) Thies Marten Wieczorek et al.   EUROPEAN JOURNAL OF PLANT PATHOLOGY

Development of spectral indices for detecting and identifying plant diseases

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

Remote Sensing Leaf Chlorophyll Content Using a Visible Band Index

(2011) E. Raymond Hunt et al.   AGRONOMY JOURNAL

Remote sensing to detect plant stress induced by Heterodera schachtii and Rhizoctonia solani in sugar beet fields

(2011) C. Hillnhütter et al.   FIELD CROPS RESEARCH

An investigation into robust spectral indices for leaf chlorophyll estimation

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

Use of imaging spectroscopy to discriminate symptoms caused by Heterodera schachtii and Rhizoctonia solani on sugar beet

(2011) Christian Hillnhütter et al.   PRECISION AGRICULTURE

Root Quality of Sugarbeet

(2011) Christa M. Hoffmann   Sugar Tech

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

Susceptibility of intercrops to infection with Rhizoctonia solani AG 2-2 IIIB and influence on subsequently cultivated sugar beet

(2010) C. Kluth et al.   PLANT PATHOLOGY

A comprehensive assessment of the structural similarity index

(2009) Richard Dosselmann et al.   Signal Image and Video Processing