Digital image processing techniques for detecting, quantifying and classifying plant diseases

Recent advances in sensing plant diseases for precision crop protection

(2012) Anne-Katrin Mahlein et al.   EUROPEAN JOURNAL OF PLANT PATHOLOGY

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

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

Rice plant-hopper infestation detection and classification algorithms based on fractal dimension values and fuzzy C-means

(2011) Zhiyan Zhou et al.   MATHEMATICAL AND COMPUTER MODELLING

Automatic citrus canker detection from leaf images captured in field

(2011) Min Zhang et al.   PATTERN RECOGNITION LETTERS

Use of leaf color images to identify nitrogen and potassium deficient tomatoes

(2011) Guili Xu et al.   PATTERN RECOGNITION LETTERS

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

Digital Image Sensor-Based Assessment of the Status of Oat (Avena sativa L.) Crops after Frost Damage

(2011) Antonia Macedo-Cruz et al.   SENSORS

A Wireless Sensor Network for Vineyard Monitoring That Uses Image Processing

(2011) Jaime Lloret et al.   SENSORS

Lettuce calcium deficiency detection with machine vision computed plant features in controlled environments

(2010) David Story et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automatic detection of skin defects in citrus fruits using a multivariate image analysis approach

(2010) Fernando López-García et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A review of advanced techniques for detecting plant diseases

(2010) Sindhuja Sankaran et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

A cognitive vision approach to early pest detection in greenhouse crops

(2008) Paul Boissard et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Early diagnostics of macronutrient deficiencies in three legume species by color image analysis

(2008) Marian Wiwart et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

New method to assess barley nitrogen nutrition status based on image colour analysis

(2008) Miguel Pagola et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Pattern recognition method to detect two diseases in rice plants

(2008) P. Sanyal et al.   IMAGING SCIENCE JOURNAL

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