FramePests: A Comprehensive Framework for Crop Pests Modeling and Forecasting
暂无分享,去创建一个
[1] Jacques Avelino,et al. The intensity of a coffee rust epidemic is dependent on production situations , 2006 .
[2] R. Rayner. Germination and penetration studies on coffee rust (Hemileia vastatrix B. & Br.). , 1961 .
[3] Jean-Noël Aubertot,et al. Injury Profile SIMulator, a Qualitative Aggregative Modelling Framework to Predict Crop Injury Profile as a Function of Cropping Practices, and the Abiotic and Biotic Environment. I. Conceptual Bases , 2013, PloS one.
[4] Albertus Eskes,et al. Advances in Coffee Rust Research , 1989 .
[5] P. Tixier,et al. Unraveling the complexity of coffee leaf rust behavior and development in different Coffea arabica agro-ecosystems. , 2020, Phytopathology.
[6] Juan Carlos Corrales,et al. Estimation of coffee rust infection and growth through two-level classifier ensembles based on expert knowledge , 2018 .
[7] A. Cristancho. La roya del cafeto en Colombia : Impacto manejo y costos del control , 2011 .
[8] Juan Carlos Corrales,et al. Rule-based expert system for detection of coffee rust warnings in colombian crops , 2019, J. Intell. Fuzzy Syst..
[9] S. Savary,et al. Effects of crop management patterns on coffee rust epidemics , 2004 .
[10] M. Kogan,et al. Integrated pest management: historical perspectives and contemporary developments. , 1998, Annual review of entomology.
[11] Marco Cristancho,et al. The coffee rust crises in Colombia and Central America (2008–2013): impacts, plausible causes and proposed solutions , 2015, Food Security.
[12] J. Vandermeer,et al. Qualitative Dynamics of the Coffee Rust Epidemic: Educating Intuition with Theoretical Ecology , 2014 .
[13] Xiaojin Zhu,et al. Introduction to Semi-Supervised Learning , 2009, Synthesis Lectures on Artificial Intelligence and Machine Learning.
[14] Leo Stroosnijder,et al. Evaluating quantitative and qualitative models: An application for nationwide water erosion assessment in Ethiopia , 2011, Environ. Model. Softw..
[15] J. Stenberg,et al. A Conceptual Framework for Integrated Pest Management. , 2017, Trends in plant science.
[16] Luiz Henrique Antunes Rodrigues,et al. Análise da epidemia da ferrugem do cafeeiro com árvore de decisão , 2008 .
[17] Douglas G. Altman,et al. Practical statistics for medical research , 1990 .
[18] J. Waller. Coffee rust—epidemiology and control , 1982 .
[19] Scott Lundberg,et al. A Unified Approach to Interpreting Model Predictions , 2017, NIPS.
[20] The future of food and agriculture: Trends and challenges , 2016 .
[21] R. Rice,et al. Shade Effects on the Dispersal of Airborne Hemileia vastatrix Uredospores. , 2016, Phytopathology.
[22] Thomas Reinartz,et al. CRISP-DM 1.0: Step-by-step data mining guide , 2000 .
[23] Marion Robert,et al. CMFDM: A methodology to guide the design of a conceptual model of farmers' decision-making processes , 2016 .
[24] Laurence V. Madden,et al. The study of plant disease epidemics , 2007 .
[25] S. Coakley,et al. Predicting Stripe Rust Severity on Winter Wheat Using an Improved Method for Analyzing Meteorological and Rust Data , 1988 .
[26] Dharmendra Naidu,et al. A comparison of qualitative and quantitative methods of detecting earnings management: evidence from two Fijian private and two Fijian state-owned entities , 2013 .
[27] Juan Carlos Corrales,et al. Towards Detecting Crop Diseases and Pest by Supervised Learning , 2015 .
[28] Browne,et al. Cross-Validation Methods. , 2000, Journal of mathematical psychology.
[29] J. Avelino,et al. Shade tree Chloroleucon eurycyclum promotes coffee leaf rust by reducing uredospore wash-off by rain , 2020 .
[30] S. McCook,et al. Global rust belt: Hemileia vastatrix and the ecological integration of world coffee production since 1850 , 2006 .
[31] J. Avelino,et al. Shade is conducive to coffee rust as compared to full sun exposure under standardized fruit load conditions , 2012 .
[32] Juan Carlos Corrales,et al. Discovering weather periods and crop properties favorable for coffee rust incidence from feature selection approaches , 2020, Comput. Electron. Agric..
[33] 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 .
[34] Alexander Herr,et al. The uncertain impact of climate change on forest ecosystems - How qualitative modelling can guide future research for quantitative model development , 2016, Environ. Model. Softw..
[35] L. Zambolim,et al. Current status and management of coffee leaf rust in Brazil , 2016, Tropical Plant Pathology.
[36] R. Clarke,et al. Studies on the biology of Hemileia vastatrix Berk. & Br , 1963 .
[37] Glauco de Souza Rolim,et al. Machine learning algorithms for forecasting the incidence of Coffea arabica pests and diseases , 2020, International Journal of Biometeorology.
[38] Juan Carlos Corrales,et al. Feature selection for classification tasks: Expert knowledge or traditional methods? , 2018, J. Intell. Fuzzy Syst..
[39] David M. W. Powers,et al. Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation , 2011, ArXiv.
[40] Yosef Jabareen,et al. Building a Conceptual Framework: Philosophy, Definitions, and Procedure , 2009 .
[41] C. A. A. Meira,et al. Weather-based coffee leaf rust apparent infection rate modeling , 2018, International Journal of Biometeorology.
[42] Juan Carlos Corrales,et al. From Theory to Practice: A Data Quality Framework for Classification Tasks , 2018, Symmetry.
[43] J. C. Sutton,et al. Monitoring weather factors in relation to plant disease , 1984 .
[44] S. Wolfert,et al. Big Data in Smart Farming – A review , 2017 .
[45] A. Kushalappa,et al. Application of Survival Ratio for Monocyclic Process ofHemileia vastatrixin Predicting Coffee Rust Infection Rates , 1983 .
[46] J. Waller,et al. Coffee Pests, Diseases and their Management , 2007 .
[47] James Joseph Biundo,et al. Analysis of Contingency Tables , 1969 .
[48] C. Staver,et al. Coffee agroecosystem performance under full sun, shade, conventional and organic management regimes in Central America , 2011, Agroforestry Systems.
[49] Cyril Ruckebusch,et al. Statistical tests for comparison of quantitative and qualitative models developed with near infrared spectral data , 2003 .
[50] Y. G. Prasad,et al. Pest monitoring and forecasting. , 2012 .
[51] Kai Petersen,et al. Systematic Mapping Studies in Software Engineering , 2008, EASE.
[52] Massimo Aria,et al. bibliometrix: An R-tool for comprehensive science mapping analysis , 2017, J. Informetrics.
[53] Jacob Cohen,et al. The Equivalence of Weighted Kappa and the Intraclass Correlation Coefficient as Measures of Reliability , 1973 .
[54] Barbara Kitchenham,et al. Procedures for Performing Systematic Reviews , 2004 .
[55] Juan Carlos Corrales,et al. How to Address the Data Quality Issues in Regression Models: A Guided Process for Data Cleaning , 2018, Symmetry.