Register      Login
Animal Production Science Animal Production Science Society
Food, fibre and pharmaceuticals from animals

Articles citing this paper

A comparison of visual and digital image-processing methods in quantifying the severity of coffee leaf rust (Hemileia vastatrix)

TV Price, R Gross, Wey J Ho and CF Osborne
33(1) pp.97 - 101


35 articles found in Crossref database.

An Automatic Method to Detect and Measure Leaf Disease Symptoms Using Digital Image Processing
Barbedo Jayme Garcia Arnal
Plant Disease. 2014 98(12). p.1709
Determination of the severity of Septoria leaf spot in tomato by using digital images
Mattos Amanda do Prado, Tolentino Júnior João Batista, Itako Adriana Terumi
Australasian Plant Pathology. 2020 49(4). p.329
Machine Learning-Based Hyperspectral and RGB Discrimination of Three Polyphagous Fungi Species Grown on Culture Media
Piekarczyk Jan, Wójtowicz Andrzej, Wójtowicz Marek, Jasiewicz Jarosław, Sadowska Katarzyna, Łukaszewska-Skrzypniak Natalia, Świerczyńska Ilona, Pieczul Katarzyna
Agronomy. 2022 12(8). p.1965
Diagnosis and Identification of Plant Pathogens (1997)
Hakulinen J.
A predictive machine learning application in agriculture: Cassava disease detection and classification with imbalanced dataset using convolutional neural networks
Sambasivam G., Opiyo Geoffrey Duncan
Egyptian Informatics Journal. 2021 22(1). p.27
Fuzzy Expert Systems and Applications in Agricultural Diagnosis (2020)
Nagi Reva, Tripathy Sanjaya Shankar
Digital image processing techniques for detecting, quantifying and classifying plant diseases
Arnal Barbedo Jayme Garcia
SpringerPlus. 2013 2(1).
Evaluation of the Performance of ImageJ, Leaf Doctor Applications, and Visual Assessments in Measuring Severity of Two Leaf Spot Diseases
Alheeti A. A. M., Farhan M. A., Al-Saad L. A., Theer R. M.
IOP Conference Series: Earth and Environmental Science. 2021 761(1). p.012030
Determining the effectiveness of soil treatment on plant stress using smart-phone cameras
2016 International Conference on Selected Topics in Mobile & Wireless Networking (MoWNeT) (2016)
Panwar Anurag, Al-Lami Mariam, Bharti Pratool, Chellappan Sriram, Burken Joel
Advances in Computational Intelligence (2020)
Nagi Reva, Tripathy Sanjaya Shankar
Assessing urban habitat quality using spectral characteristics of Tilia leaves
Khavanin Zadeh A.R., Veroustraete F., Buytaert J.A.N., Dirckx J., Samson R.
Environmental Pollution. 2013 178 p.7
From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy
Bock Clive H., Barbedo Jayme G. A., Del Ponte Emerson M., Bohnenkamp David, Mahlein Anne-Katrin
Phytopathology Research. 2020 2(1).
RUST: A Robust, User-Friendly Script Tool for Rapid Measurement of Rust Disease on Cereal Leaves
Gallego-Sánchez Luis M., Canales Francisco J., Montilla-Bascón Gracia, Prats Elena
Plants. 2020 9(9). p.1182
Imaging analysis method to quantify leaf deformation in response to sub-lethal rates of dicamba
Wasacz Maggie H., Sosnoskie Lynn M., Elmore Matthew T., Besançon Thierry E.
Weed Technology. 2021 35(5). p.733
Machine learning prediction of coffee rust severity on leaves using spectroradiometer data
Chemura Abel, Mutanga Onisimo, Sibanda Mbulisi, Chidoko Pardon
Tropical Plant Pathology. 2018 43(2). p.117
Automated Image Analysis of the Severity of Foliar Citrus Canker Symptoms
Bock C. H., Cook A. Z., Parker P. E., Gottwald T. R.
Plant Disease. 2009 93(6). p.660
Review of image processing approaches for detecting plant diseases
Sinha Aditya, Shekhawat Rajveer Singh
IET Image Processing. 2020 14(8). p.1427
A comparison of disease severity measurements using image analysis and visual estimates using a category scale for genetic analysis of resistance to bacterial spot in tomato
Sun Huijun, Wei Jingli, Zhang Jieyun, Yang Wencai
European Journal of Plant Pathology. 2014 139(1). p.125
Advances in Computational Intelligence Techniques (2020)
Sinha Aditya, Singh Shekhawat Rajveer
Microcomputer-Based Quantification of Maize Streak Virus Symptoms in Zea mays
Martin Darrin P., Rybicki Edward P.
Phytopathology®. 1998 88(5). p.422
Digitized photographs in vegetation analysis ‐ a comparison of cover estimates
Vanha‐Majamaa I., Salemaa M., Tuominen S., Mikkola K.
Applied Vegetation Science. 2000 3(1). p.89
A survey on various image processing techniques and machine learning models to detect, quantify and classify foliar plant disease
Naik Akruti, Thaker Hetal, Vyas Dhaval
Proceedings of the Indian National Science Academy. 2021 87(2). p.191
Characterization and Mapping of Oat Crown Rust Resistance Genes Using Three Assessment Methods
Jackson E. W., Obert D. E., Menz M., Hu G., Avant J. B., Chong J., Bonman J. M.
Phytopathology®. 2007 97(9). p.1063
Quantitative Assessment of Lesion Characteristics and Disease Severity Using Digital Image Processing
Tucker C. C., Chakraborty S.
Journal of Phytopathology. 1997 145(7). p.273
A Neoteric Procedure for Spotting and Segregation of Ailments in Mediciative Plants using Image Processing Techniques
Rakesh Kumar Yadav , Ankit Kumar , Santosh Kumar Shukla , Eram Fatima
International Journal of Next-Generation Computing. 2022
Leaf Doctor: A New Portable Application for Quantifying Plant Disease Severity
Pethybridge Sarah J., Nelson Scot C.
Plant Disease. 2015 99(10). p.1310
Detection, Quantification and Analysis of Neofabraea Leaf Spot in Olive Plant using Image Processing Techniques
2019 5th International Conference on Signal Processing, Computing and Control (ISPCC) (2019)
Sinha Aditya, Shekhawat Rajveer Singh
Digitized images provide more accuracy and efficiency to estimate bryophyte cover
Benavides Juan C., Sastre-De Jesús Inés
The Bryologist. 2009 112(1). p.12
A Quantitative Assay of Puccinia coronata f. sp. avenae DNA in Avena sativa
Jackson E. W., Avant J. B., Overturf K. E., Bonman J. M.
Plant Disease. 2006 90(5). p.629
Detection of coffee berry necrosis by digital image processing of landsat 8 oli satellite imagery
Miranda Jonathan da Rocha, Alves Marcelo de Carvalho, Pozza Edson Ampélio, Santos Neto Helon
International Journal of Applied Earth Observation and Geoinformation. 2020 85 p.101983
Co-adaptation between cassava mosaic geminiviruses and their local vector populations
Maruthi M.N, Colvin J, Seal S, Gibson G, Cooper J
Virus Research. 2002 86(1-2). p.71
Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging
Bock C. H., Poole G. H., Parker P. E., Gottwald T. R.
Critical Reviews in Plant Sciences. 2010 29(2). p.59
Evaluation of Components of Partial Resistance to Oat Crown Rust Using Digital Image Analysis
Díaz-Lago J. E., Stuthman D. D., Leonard K. J.
Plant Disease. 2003 87(6). p.667
Novel approach for quantification for severity estimation of blight diseases on leaves of tomato plant
Charak Aahan Singh, Sinha Aditya, Jain Tarun
Expert Systems. 2023 40(5).
Rapid, automated detection of stem canker symptoms in woody perennials using artificial neural network analysis
Li Bo, Hulin Michelle T., Brain Philip, Mansfield John W., Jackson Robert W., Harrison Richard J.
Plant Methods. 2015 11(1).

Committee on Publication Ethics


Abstract Export Citation Get Permission