An Algorithm for the Spatiotemporal Dynamic of Insect Pest in Complex Agricultural System

Nowadays, our living environment is becoming more and more complex and, the complexity can be found in almost all the aspects of our daily activities Agroecosystems are good examples of complex systems, and the control of insect invasion is essential in pest management activities. Species distribution modeling(SDM) is a widely used modelling approach that predict the distribution of insect pest across geographical location. Despite their ability to predict the different zone suitable for the spatial dispersion of insects, there are unable to tell us about the time the invasion may occur in these location. this is why a new spatiotemporal algorithm is proposed to improve prediction of insect invasion. Afterward the algorithm is implemented and some simulation case of its application are presented.

[1]  Ralph H. Sprague,et al.  Building Effective Decision Support Systems , 1982 .

[2]  K. Wiesner,et al.  What is a complex system? , 2012, European Journal for Philosophy of Science.

[3]  J. Doyne Farmer,et al.  Economics needs to treat the economy as a complex system , 2012 .

[4]  Erich J. Windhab,et al.  Using a complex system approach to address world challenges in Food and Agriculture , 2013 .

[5]  J. Foster.  From simplistic to complex systems in economics , 2005 .

[6]  Alexandre Gachet.  Building model driven decision support systems with dicodess , 2004 .

[7]  Keith Davids,et al.  Overview of complex systems in sport , 2013, Journal of Systems Science and Complexity.

[8]  W. Pieterse,et al.  First records of the tomato leaf miner Tuta absoluta (Meyrick, 1917) (Lepidoptera: Gelechiidae) in South Africa , 2017 .

[9]  K. Krishna.  Agroecosystems: Soils, Climate, Crops, Nutrient Dynamics and Productivity , 2013 .

[10]  Vijay Kumar Mago,et al.  Computational Models of Complex Systems , 2014, Computational Models of Complex Systems.

[11]  Md. Wasim Aktar,et al.  Impact of pesticides use in agriculture: their benefits and hazards , 2009, Interdisciplinary toxicology.

[12]  Y. Rhee.  Complex systems approach to the study of politics , 2000 .

[13]  Ioan Dumitrache,et al.  Agricultural Enterprise as a Complex System: A Cyber Physical Systems Approach , 2015, 2015 20th International Conference on Control Systems and Computer Science.

[14]  Anastasios Xepapadeas,et al.  Modeling Complex Systems , 2010 .

[15]  R. Bruce Curry,et al.  Agricultural Systems modeting and Simulation , 1997 .

[16]  Alan Kirman,et al.  The Economy as a Complex System , 2017 .

[17]  Hiroki Sayama,et al.  Introduction to the Modeling and Analysis of Complex Systems , 2015 .

[18]  Yaneer Bar-Yam.  Complex Systems insights to building effective teams , 2003, Int. J. Comput. Sci. Sport.

[19]  Zhiwei Ji,et al.  Mathematical and Computational Modeling in Complex Biological Systems , 2017, BioMed research international.

[20]  Stefano Nichele.  Introduction to the Modeling and Analysis of Complex Systems. H. Sayama (Ed.). (2015, Open SUNY Textbooks). Free open access PDF, 498 pp. ISBN 978-1-942341-06-2 (deluxe color edition). ISBN 978-1-942341-08-6 (print edition). ISBN 978-1-942341-09-3 (ebook) , 2016, Artif. Life.