Yield prediction in apples using Fuzzy Cognitive Map learning approach
暂无分享,去创建一个
Theofanis Gemtos | Elpiniki I. Papageorgiou | K. D. Aggelopoulou | George D. Nanos | T. Gemtos | E. Papageorgiou | G. Nanos | K. Aggelopoulou
[1] Chrysostomos D. Stylios,et al. An integrated two-level hierarchical system for decision making in radiation therapy based on fuzzy cognitive maps , 2003, IEEE Transactions on Biomedical Engineering.
[2] Jose L. Salmeron,et al. Supporting Decision Makers with Fuzzy Cognitive Maps , 2009 .
[3] L. Zadeh. Fuzzy sets as a basis for a theory of possibility , 1999 .
[4] A. Kravchenko,et al. Correlation of Corn and Soybean Grain Yield with Topography and Soil Properties , 2000 .
[5] D. Bochtis,et al. Yield prediction in apple orchards based on image processing , 2011, Precision Agriculture.
[6] P. Vlek,et al. Comparison of adaptive techniques to predict crop yield response under varying soil and land management conditions , 2005 .
[7] Panagiota Spyridonos,et al. Brain tumor characterization using the soft computing technique of fuzzy cognitive maps , 2008, Appl. Soft Comput..
[8] Jing Liu,et al. Neural networks for setting target corn yields , 2000 .
[9] Witold Pedrycz,et al. Data-driven Nonlinear Hebbian Learning method for Fuzzy Cognitive Maps , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).
[10] E. Mizutani,et al. Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review] , 1997, IEEE Transactions on Automatic Control.
[11] Yuxin Miao,et al. Identifying important factors influencing corn yield and grain quality variability using artificial neural networks , 2006, Precision Agriculture.
[12] Witold Pedrycz,et al. Genetic learning of fuzzy cognitive maps , 2005, Fuzzy Sets Syst..
[13] Chrysostomos D. Stylios,et al. Active Hebbian learning algorithm to train fuzzy cognitive maps , 2004, Int. J. Approx. Reason..
[14] Chrysostomos D. Stylios,et al. Modeling complex systems using fuzzy cognitive maps , 2004, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[15] F. Anctil,et al. A neural network experiment on the site-specific simulation of potato tuber growth in Eastern Canada , 2010 .
[16] Elpiniki I. Papageorgiou,et al. A new hybrid method using evolutionary algorithms to train Fuzzy Cognitive Maps , 2005, Appl. Soft Comput..
[17] Ayse Irmak,et al. Artificial Neural Network Model as a Data Analysis Tool in Precision Farming , 2006 .
[18] T. A. Gemtos,et al. Spatial variation in yield and quality in a small apple orchard , 2010, Precision Agriculture.
[19] K. Thelen,et al. Effect of Soil and Topographic Properties on Crop Yield in a North‐Central Corn–Soybean Cropping System , 2004 .
[20] David G. Stork,et al. Pattern Classification , 1973 .
[21] S. Blackmore,et al. The Analysis of Spatial and Temporal Trends in Yield Map Data over Six Years , 2003 .
[22] S. Fountas,et al. Site-specific management in an olive tree plantation , 2011, Precision Agriculture.
[23] Theofanis Gemtos,et al. Soft Computing Technique of Fuzzy Cognitive Maps to Connect Yield Defining Parameters with Yield in Cotton Crop Production in Central Greece as a Basis for a Decision Support System for Precision Agriculture Application , 2010 .
[24] Chrysostomos D. Stylios,et al. Unsupervised learning techniques for fine-tuning fuzzy cognitive map causal links , 2006, Int. J. Hum. Comput. Stud..
[25] T. Negre,et al. Prediction of crop yields with the use of neural networks , 2007, Russian Agricultural Sciences.
[26] J. Ross Quinlan,et al. Decision trees and decision-making , 1990, IEEE Trans. Syst. Man Cybern..
[27] Zahir Irani,et al. Exploring Fuzzy Cognitive Mapping for IS Evaluation , 2006, Eur. J. Oper. Res..
[28] R. Ehsani,et al. Development of a yield monitoring system for citrus mechanical harvesting machines , 2009, Precision Agriculture.
[29] Jaharah A Ghani,et al. A Back Propagation Neural Networks for Grading Jatropha curcas Fruits Maturity , 2010 .
[30] Yubin Lan,et al. Review: Development of soft computing and applications in agricultural and biological engineering , 2010 .
[31] Shiv O. Prasher,et al. Prediction of street tree morphological parameters using artificial neural networks , 2009 .
[32] Kenneth A. Sudduth,et al. STATISTICAL AND NEURAL METHODS FOR SITE–SPECIFIC YIELD PREDICTION , 2003 .
[33] Bart Kosko,et al. Fuzzy Cognitive Maps , 1986, Int. J. Man Mach. Stud..
[34] Jose L. Salmeron,et al. Benchmarking main activation functions in fuzzy cognitive maps , 2009, Expert Syst. Appl..
[35] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .
[36] Elpiniki I. Papageorgiou,et al. A weight adaptation method for fuzzy cognitive map learning , 2005, Soft Comput..
[37] Pedro Antonio Gutiérrez,et al. Logistic regression product-unit neural networks for mapping Ridolfia segetum infestations in sunflower crop using multitemporal remote sensed data , 2008 .
[38] Qamar Uz Zaman,et al. Variable rate granular fertilization of citrus groves: spreader performance with single-tree prescription zones. , 2005 .
[39] Elpiniki I. Papageorgiou,et al. A new methodology for Decisions in Medical Informatics using fuzzy cognitive maps based on fuzzy rule-extraction techniques , 2011, Appl. Soft Comput..
[40] Elpiniki I. Papageorgiou,et al. Analyzing the performance of fuzzy cognitive maps with non-linear hebbian learning algorithm in predicting autistic disorder , 2011, Expert Syst. Appl..
[41] N. Childers. Modern Fruit Science , 1983 .
[42] Theofanis Gemtos,et al. Delineation of management zones in an apple orchard in Greece using a multivariate approach , 2013 .
[43] A. W. Schumann,et al. Delineating productivity zones in a citrus grove using citrus production, tree growth and temporally stable soil data , 2011, Precision Agriculture.
[44] Kenneth A. Sudduth,et al. Soil electrical conductivity and topography related to yield for three contrasting soil-crop systems , 2003 .
[45] T. A. Gemtos,et al. Soil spatial variability and site-specific fertilization maps in an apple orchard , 2011, Precision Agriculture.
[46] Elpiniki I. Papageorgiou,et al. Application of fuzzy cognitive maps for cotton yield management in precision farming , 2009, Expert Syst. Appl..
[47] Ian Witten,et al. Data Mining , 2000 .
[48] Elpiniki I. Papageorgiou,et al. Learning Algorithms for Fuzzy Cognitive Maps—A Review Study , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[49] Alfred Schultz,et al. Neural networks in agroecological modelling - stylish application or helpful tool? , 2000 .