@article{S_R_2023, title={Haar wavelet approach to study the control of biological pest model in Tea plants}, volume={4}, url={https://sabapub.com/index.php/jfcns/article/view/862}, DOI={10.48185/jfcns.v4i2.862}, abstractNote={<p>n this study, we consider a novel approach called the Haar wavelet collocation method (HWCM) to<br />examine the mathematical model of pest propagation in tea plants and how biological enemies might control<br />them. This model is in the form of a system of coupled ordinary differential equations (ODEs). When studying<br />the system, we consider tea plants, pests that harm the plants, biological enemies that are their reasonable<br />competitors of pests, self-reproduction of the tea plants, natural death of pests and natural enemies, etc. By<br />turning the Mathematical model into a system of non-linear algebraic equations, we use the properties of<br />the Haar wavelets. The opted method can solve the biological pest management problem in tea plants. The<br />values of the unknown coefficients are recovered using the collocation method and Newton Raphson method.<br />The Mathematica program acquires the numerical results, nature, and uniformity. The acquired findings show<br />that the current method is more accurate than those indicated in tables and graphs.</p>}, number={2}, journal={Journal of Fractional Calculus and Nonlinear Systems}, author={S, Kumbinarasaiah and R, Yeshwanth}, year={2023}, month={Dec.}, pages={14–30} }