Analysis and numerical simulation of fractional order pine wilt disease model

Author:

Padmavathi Viswanathan1,Alagesan Kandaswami2,Alhowaity Awatif3,Khan Muhammad Ijaz45ORCID,Hamam Haneen6,Angayarkanni Manivelu2,Govindan Vediyappan7

Affiliation:

1. Department of Mathematics, Thangavel Womens Arts and Science College, Salem 636106, Tamilnadu, India

2. Department of Mathematics, Kandaswami Kandar’s College, Velur 638182, Tamilnadu, India

3. Department of Mathematics, College of Science and Arts at Alkamil, University of Jeddah, Jeddah, Saudi Arabia

4. Laboratory of Systems Ecology and Sustainability Science College of Engineering, Peking University, P. R. China

5. Department of Mathematics and Statistics, Riphah International University I-14, Islamabad 44000 Pakistan

6. Mathematics Department, Umm Al-Qura University, Makkah, Saudi Arabia

7. Department of Mathematics, DMI St. John The Baptist University, 800-Central Africa, Malawi

Abstract

Human survival is purely based on the environment. Through natural calamities or man-made depredation, the pleasant existence is disturbed. Trees provide not just foliage for the environment but also a pleasant atmosphere for the human population. One of the most serious threats to the forest and ecology is the pine wilt disease (PWD). It is a devastating disease that kills pine trees in a matter of weeks. The pine-wood nematode Bursaphelenchus Xylophilus causes PWD. This study emphasises on the infectious model of PWD engaging the [Formula: see text]-homotopy analysis transform method ([Formula: see text]-HATM) to a leading fractional operator Caputo–Fabrizio fractional time derivative to arrive for superior understanding. The denouements are presented in the forms of plots and tables. At last the paper supports to examine the real-world models and helps to forecast their behavior that communicate the instructions considered in the models.

Funder

Deanship of Scientific Research at Umm Al-Qura University

Publisher

World Scientific Pub Co Pte Ltd

Subject

Condensed Matter Physics,Statistical and Nonlinear Physics

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