Application of Remote Sensing for Phenotyping Tar Spot Complex Resistance in Maize

Feasibility of Unmanned Aerial Vehicle Optical Imagery for Early Detection and Severity Assessment of Late Blight in Potato

(2019) Marston Héracles Domingues Franceschini et al.   Remote Sensing

Threats of Tar Spot Complex disease of maize in the United States of America and its global consequences

(2018) Khondoker Abdul Mottaleb et al.   Mitigation and Adaptation Strategies for Global Change

On the Potentiality of UAV Multispectral Imagery to Detect Flavescence dorée and Grapevine Trunk Diseases

(2018) Johanna Albetis et al.   Remote Sensing

Phenomic Approaches and Tools for Phytopathologists

(2017) Ivan Simko et al.   PHYTOPATHOLOGY

Least-Squares Means: TheRPackagelsmeans

(2016) Russell V. Lenth   Journal of Statistical Software

Plant Disease Detection by Imaging Sensors – Parallels and Specific Demands for Precision Agriculture and Plant Phenotyping

(2016) Anne-Katrin Mahlein   PLANT DISEASE

First Report of Tar Spot on Corn Caused by Phyllachora maydis in the United States

(2016) G. Ruhl et al.   PLANT DISEASE

Application of remote sensing to identify adult plant resistance loci to stripe rust in two bread wheat mapping populations

(2016) Z. A. Pretorius et al.   PRECISION AGRICULTURE

Early Detection and Quantification of Almond Red Leaf Blotch Using High-Resolution Hyperspectral and Thermal Imagery

(2016) Manuel López-López et al.   Remote Sensing

Fitting Linear Mixed-Effects Models Usinglme4

(2015) Douglas Bates et al.   Journal of Statistical Software

Hyperspectral phenotyping on the microscopic scale: towards automated characterization of plant-pathogen interactions

(2015) Matheus Kuska et al.   Plant Methods

HyperART: non-invasive quantification of leaf traits using hyperspectral absorption-reflectance-transmittance imaging

(2015) Sergej Bergsträsser et al.   Plant Methods

Sequential application of hyperspectral indices for delineation of stripe rust infection and nitrogen deficiency in wheat

(2015) R. Devadas et al.   PRECISION AGRICULTURE

Early Detection and Quantification of Verticillium Wilt in Olive Using Hyperspectral and Thermal Imagery over Large Areas

(2015) Rocío Calderón et al.   Remote Sensing

Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus trees

(2013) Francisco Garcia-Ruiz et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices

(2013) R. Calderón et al.   REMOTE SENSING OF ENVIRONMENT

Hyperspectral imaging for small-scale analysis of symptoms caused by different sugar beet diseases

(2012) Anne-Katrin Mahlein et al.   Plant Methods

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

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

Hyperspectral and Chlorophyll Fluorescence Imaging to Analyse the Impact of Fusarium culmorum on the Photosynthetic Integrity of Infected Wheat Ears

(2011) Elke Bauriegel et al.   SENSORS

Comparison of airborne multispectral and hyperspectral imagery for mapping cotton root rot

(2010) Chenghai Yang et al.   BIOSYSTEMS ENGINEERING

Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging

(2010) C. H. Bock et al.   CRITICAL REVIEWS IN PLANT SCIENCES

Visual Rating and the Use of Image Analysis for Assessing Different Symptoms of Citrus Canker on Grapefruit Leaves

(2008) C. H. Bock et al.   PLANT DISEASE