Related references
Note: Only part of the references are listed.A review on the main challenges in automatic plant disease identification based on visible range images
Jayme Garcia Arnal Barbedo
BIOSYSTEMS ENGINEERING (2016)
On developing and enhancing plant-level disease rating systems in real fields
Yousef Atoum et al.
PATTERN RECOGNITION (2016)
Image-based field monitoring of Cercospora leaf spot in sugar beet by robust template matching and pattern recognition
Rong Zhou et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2015)
A review of advanced machine learning methods for the detection of biotic stress in precision crop protection
Jan Behmann et al.
PRECISION AGRICULTURE (2015)
Disease detection of Cercospora Leaf Spot in sugar beet by robust template matching
Rong Zhou et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2014)
An Automatic Method to Detect and Measure Leaf Disease Symptoms Using Digital Image Processing
Jayme Garcia Arnal Barbedo
PLANT DISEASE (2014)
First Report of Bacterial Blight of Sugar Beet Caused by Pseudomonas syringae pv. aptata in Georgia, USA.
B. Dutta et al.
PLANT DISEASE (2014)
Erosion Band Features for Cell Phone Image Based Plant Disease Classification
Marion Neumann et al.
2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) (2014)
An Automated System for Plant-level Disease Rating in Real Fields
Muhammad Jamal Afridi et al.
2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) (2014)
Disease variation and chemical control of Ramularia leaf spot in sugar beet
Tine Thach et al.
CROP PROTECTION (2013)
Erosion band signatures for spatial extraction of features
Eduard Vazquez et al.
MACHINE VISION AND APPLICATIONS (2013)
Recent advances in sensing plant diseases for precision crop protection
Anne-Katrin Mahlein et al.
EUROPEAN JOURNAL OF PLANT PATHOLOGY (2012)
The use of digital image analysis and real-time PCR fine-tunes bioassays for quantification of Cercospora leaf spot disease in sugar beet breeding
B. M. A. De Coninck et al.
PLANT PATHOLOGY (2012)
The potential of automatic methods of classification to identify leaf diseases from multispectral images
Sabine D. Bauer et al.
PRECISION AGRICULTURE (2011)
Image processing methods for quantitatively detecting soybean rust from multispectral images
Di Cui et al.
BIOSYSTEMS ENGINEERING (2010)
Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging
C. H. Bock et al.
CRITICAL REVIEWS IN PLANT SCIENCES (2010)
Cercospora Leaf Spot Disease of Sugar Beet
George N. Skaracis et al.
SUGAR TECH (2010)
An image-processing based algorithm to automatically identify plant disease visual symptoms
A. Camargo et al.
BIOSYSTEMS ENGINEERING (2009)
An Image Recognition System for Crop Disease Identification of Paddy fields in Sri Lanka
G. Anthonys et al.
2009 INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS (2009)
Application of artificial neural network for detecting Phalaenopsis seedling diseases using color and texture features
Kuo-Yi Huang
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2007)
Computer-assisted estimation of leaf damage caused by spider mites
Barbora Skaloudova et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2006)
Disease assessment concepts and the advancements made in improving the accuracy and precision of plant disease data
Forrest W. Nutter et al.
EUROPEAN JOURNAL OF PLANT PATHOLOGY (2006)
Sugarbeet leaf spot disease (Cercospora beticola Sacc.)
J Weiland et al.
MOLECULAR PLANT PATHOLOGY (2004)
Fall armyworm damaged maize plant identification using digital images
DG Sena et al.
BIOSYSTEMS ENGINEERING (2003)
Environmental situation and yield performance of the sugar beet crop in Germany:: Heading for sustainable development
B Märländer et al.
JOURNAL OF AGRONOMY AND CROP SCIENCE (2003)
Comparison of two disease assessment methods for assessing Cercospora leaf spot in sugar beet
J Vereijssen et al.
CROP PROTECTION (2003)
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
T Ojala et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2002)
An integrated pest management system in Germany for the control of fungal leaf diseases in sugar beet - The IPM sugar beet model
PFJ Wolf et al.
PLANT DISEASE (2002)