Discovering weather periods and crop properties favorable for coffee rust incidence from feature selection approaches
暂无分享,去创建一个
Juan Carlos Corrales | David Camilo Corrales | Emmanuel Lasso | Jacques Avelino | Elias de Melo Virginio Filho | Emmanuel Lasso | J. Corrales | J. Avelino | E. D. M. V. Filho
[1] S. Savary,et al. Effects of crop management patterns on coffee rust epidemics , 2004 .
[2] Jason Weston,et al. Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.
[3] Ana Vieira,et al. The coffee leaf rust pathogen Hemileia vastatrix: one and a half centuries around the tropics. , 2017, Molecular plant pathology.
[4] Jay Magidson,et al. Correlated Component Regression: Re-thinking Regression in the Presence of Near Collinearity , 2013 .
[5] Marco Cristancho,et al. The coffee rust crises in Colombia and Central America (2008–2013): impacts, plausible causes and proposed solutions , 2015, Food Security.
[6] Luiz Henrique Antunes Rodrigues,et al. Análise da epidemia da ferrugem do cafeeiro com árvore de decisão , 2008 .
[7] Shefali Sonavane,et al. IoT based Smart Farming : Feature subset selection for optimized high-dimensional data using improved GA based approach for ELM , 2019, Comput. Electron. Agric..
[8] Wes McKinney,et al. Data Structures for Statistical Computing in Python , 2010, SciPy.
[9] Jacques Avelino,et al. The intensity of a coffee rust epidemic is dependent on production situations , 2006 .
[10] Andy Liaw,et al. Classification and Regression by randomForest , 2007 .
[11] Ferat Sahin,et al. A survey on feature selection methods , 2014, Comput. Electr. Eng..
[12] A. Kushalappa,et al. An analysis of the development of coffee rust in the field. , 1980 .
[13] Sebastian Raschka,et al. MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack , 2018, J. Open Source Softw..
[14] A. Kushalappa. Calculation of Apparent Infection Rate in Plant Diseases: Development of a Method to Correct for Host Growth , 1982 .
[15] A. Eskes,et al. Temperature requirements for germination, germ tube growth and appressorium formation of urediospores of Hemileia vastatrix , 1987, Netherlands Journal of Plant Pathology.
[16] A. Kushalappa,et al. Application of Survival Ratio for Monocyclic Process ofHemileia vastatrixin Predicting Coffee Rust Infection Rates , 1983 .
[17] R. Clarke,et al. Studies on the biology of Hemileia vastatrix Berk. & Br , 1963 .
[18] J. Avelino,et al. Shade is conducive to coffee rust as compared to full sun exposure under standardized fruit load conditions , 2012 .
[19] Albertus Eskes,et al. Advances in Coffee Rust Research , 1989 .
[20] Christian Osendorfer,et al. Sequential Feature Selection for Classification , 2011, Australasian Conference on Artificial Intelligence.
[21] Juan Carlos Corrales,et al. Feature selection for classification tasks: Expert knowledge or traditional methods? , 2018, J. Intell. Fuzzy Syst..
[22] Samina Khalid,et al. A survey of feature selection and feature extraction techniques in machine learning , 2014, 2014 Science and Information Conference.
[23] Scott Lundberg,et al. A Unified Approach to Interpreting Model Predictions , 2017, NIPS.
[24] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[25] P. Tixier,et al. Forecast models of coffee leaf rust symptoms and signs based on identified microclimatic combinations in coffee-based agroforestry systems in Costa Rica , 2020 .
[26] Felipe Ferreira Bocca,et al. The effect of tuning, feature engineering, and feature selection in data mining applied to rainfed sugarcane yield modelling , 2016, Comput. Electron. Agric..
[27] R. Rayner. Germination and penetration studies on coffee rust (Hemileia vastatrix B. & Br.). , 1961 .
[28] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[29] F. Ferrandino. Effect of crop growth and canopy filtration on the dynamics of plant disease epidemics spread by aerially dispersed spores. , 2008, Phytopathology.
[30] S. Coakley,et al. Predicting Stripe Rust Severity on Winter Wheat Using an Improved Method for Analyzing Meteorological and Rust Data , 1988 .
[31] J. Waller. Coffee rust—epidemiology and control , 1982 .
[32] J. Anuradha,et al. A Review of Feature Selection and Its Methods , 2019, Cybernetics and Information Technologies.
[33] Timothy C. Krehbiel,et al. Correlation Coefficient Rule of Thumb , 2004 .
[34] Juan Carlos Corrales,et al. Two-Level Classifier Ensembles for Coffee Rust Estimation in Colombian Crops , 2016, Int. J. Agric. Environ. Inf. Syst..
[35] L. Zambolim,et al. Current status and management of coffee leaf rust in Brazil , 2016, Tropical Plant Pathology.
[36] Terry K Koo,et al. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. , 2016, Journal of chiropractic medicine.
[37] C. Staver,et al. Coffee agroecosystem performance under full sun, shade, conventional and organic management regimes in Central America , 2011, Agroforestry Systems.
[38] Juan Carlos Corrales,et al. Estimation of coffee rust infection and growth through two-level classifier ensembles based on expert knowledge , 2018 .
[39] Juan Carlos Corrales,et al. A Cloud-Based Platform for Decision Making Support in Colombian Agriculture: A Study Case in Coffee Rust , 2017 .
[40] P. Tixier,et al. Effects of microclimatic variables on the symptoms and signs onset of Moniliophthora roreri, causal agent of Moniliophthora pod rot in cacao , 2017, PloS one.
[41] R. Rice,et al. Shade Effects on the Dispersal of Airborne Hemileia vastatrix Uredospores. , 2016, Phytopathology.
[42] J. Waller,et al. Coffee Pests, Diseases and their Management , 2007 .
[43] Zahid Iqbal,et al. Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection , 2018, Comput. Electron. Agric..
[44] Marco S. Reis,et al. Wide spectrum feature selection (WiSe) for regression model building , 2019, Comput. Chem. Eng..
[45] P. Tixier,et al. Preharvest temperature affects chilling injury in dessert bananas during storage. , 2016, Journal of the science of food and agriculture.
[46] Juan Carlos Corrales,et al. Expert system for coffee rust detection based on supervised learning and graph pattern matching , 2017, Int. J. Metadata Semant. Ontologies.
[47] J. Avelino,et al. Economic constraints as drivers of coffee rust epidemics in Nicaragua , 2020 .