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

Detection of early plant stress responses in hyperspectral images

(2014) Jan Behmann et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND 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

A novel algorithm for damage recognition on pest-infested oilseed rape leaves

(2012) Yun Zhao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Classification of crops and weeds from digital images: A support vector machine approach

(2012) Faisal Ahmed et al.   CROP PROTECTION

Recent advances in sensing plant diseases for precision crop protection

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

Predicting Thaumastocoris peregrinus damage using narrow band normalized indices and hyperspectral indices using field spectra resampled to the Hyperion sensor

(2012) Z. Oumar et al.   International Journal of Applied Earth Observation and Geoinformation

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

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

Development of spectral indices for detecting and identifying plant diseases

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

Intelligent multi-sensor system for the detection and treatment of fungal diseases in arable crops

(2011) D. Moshou et al.   BIOSYSTEMS ENGINEERING

Use of ground based hyperspectral remote sensing for detection of stress in cotton caused by leafhopper (Hemiptera: Cicadellidae)

(2011) M. Prabhakar et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Robust fitting of fluorescence spectra for pre-symptomatic wheat leaf rust detection with Support Vector Machines

(2011) Christoph Römer et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Leaf classification in sunflower crops by computer vision and neural networks

(2011) Juan Ignacio Arribas et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Sequential support vector machine classification for small-grain weed species discrimination with special regard to Cirsium arvense and Galium aparine

(2011) Till Rumpf et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automatic citrus canker detection from leaf images captured in field

(2011) Min Zhang et al.   PATTERN RECOGNITION LETTERS

Spectral requirements on airborne hyperspectral remote sensing data for wheat disease detection

(2011) Thorsten Mewes et al.   PRECISION AGRICULTURE

Improved Discrimination between Monocotyledonous and Dicotyledonous Plants for Weed Control Based on the Blue-Green Region of Ultraviolet-Induced Fluorescence Spectra

(2010) Bernard Panneton et al.   APPLIED SPECTROSCOPY

Development of soft computing and applications in agricultural and biological engineering

(2010) Yanbo Huang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Application of neural networks to discriminate fungal infection levels in rice panicles using hyperspectral reflectance and principal components analysis

(2010) Zhan-Yu Liu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Sensing technologies for precision specialty crop production

(2010) W.S. Lee et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

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

Sensitivity of Support Vector Machines to Random Feature Selection in Classification of Hyperspectral Data

(2010) Björn Waske et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Precision Agriculture and Food Security

(2010) R. Gebbers et al.   SCIENCE

Multispectral classification of grass weeds and wheat (Triticum durum) using linear and nonparametric functional discriminant analysis and neural networks

(2010) F LÓPEZ-GRANADOS et al.   WEED RESEARCH

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

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

Developments and directions in speech recognition and understanding, Part 1 [DSP Education]

(2009) J. Baker et al.   IEEE SIGNAL PROCESSING MAGAZINE

Geostatistical Analysis of the Spatiotemporal Dynamics of Powdery Mildew and Leaf Rust in Wheat

(2009) Jonas Franke et al.   PHYTOPATHOLOGY

Discrimination of corn, grasses and dicot weeds by their UV-induced fluorescence spectral signature

(2009) Louis Longchamps et al.   PRECISION AGRICULTURE

A survey of data mining techniques applied to agriculture

(2009) A. Mucherino et al.   Operational Research

Neue Ansätze zur frühzeitigen Erkennung und Lokalisierung von Zuckerrübenkrankheiten

(2008) Christian Hillnhütter et al.   Gesunde Pflanzen

Spectral prediction of Phytophthora infestans infection on tomatoes using artificial neural network (ANN)

(2008) X. Wang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING