An Automatic Method to Detect and Measure Leaf Disease Symptoms Using Digital Image Processing

Smart Sensor for Real-Time Quantification of Common Symptoms Present in Unhealthy Plants

(2012) Luis M. Contreras-Medina et al.   SENSORS

The use of digital image analysis and real-time PCR fine-tunes bioassays for quantification of Cercospora leaf spot disease in sugar beet breeding

(2011) B. M. A. De Coninck et al.   PLANT PATHOLOGY

Image processing methods for quantitatively detecting soybean rust from multispectral images

(2010) Di Cui 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

A semi-automatic non-destructive method to quantify grapevine downy mildew sporulation

(2010) Elisa Peressotti et al.   JOURNAL OF MICROBIOLOGICAL METHODS

Image pattern classification for the identification of disease causing agents in plants

(2009) A. Camargo et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automated Image Analysis of the Severity of Foliar Citrus Canker Symptoms

(2009) C. H. Bock et al.   PLANT DISEASE

An image-processing based algorithm to automatically identify plant disease visual symptoms

(2008) A. Camargo et al.   BIOSYSTEMS ENGINEERING

Quantifying fungal infection of plant leaves by digital image analysis using Scion Image software

(2008) C.P. Wijekoon et al.   JOURNAL OF MICROBIOLOGICAL METHODS

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

Digital image analysis of Zostera marina leaf injury

(2007) Bruce L. Boese et al.   AQUATIC BOTANY