THE OPTIMIZATION MACHINE LEARNING APPROACH OF SENSITIVE ANALYSIS OF FUZZY INVENTORY GERMINATION OF PLANTS GENERATES ONE-YEAR-OLD-SEEDS AND TWO-YEAR- OLD-SEEDS WITH FUZZY INVENTORY

S. Shunmugapriya; V. Sundhari; K. Kalaiarasi

doi:10.53555/sfs.v10i2.1071

Authors

S. Shunmugapriya 1Assistant Professor, Department of Mathematics, Rajah Serfoji Government College (Autonomous), (Affiliated to Bharathidasan University), Thanjavur
V. Sundhari Assistant Professor of Mathematics, Rajah's College of Tamil and Sanskrit Studies, (Affiliated to Bharathidasan University), Thiruvaiyaru
K. Kalaiarasi Assistant Professor, PG and Research Department of Mathematics, Cauvery College for Women (Autonomous), (Affiliated to Bharathidasan University), Tiruchirappalli – 620018. 1bD.Sc. (Mathematics) Researcher, Srinivas University, Surathkal, Mangaluru, Karnataka 574146

DOI:

https://doi.org/10.53555/sfs.v10i2.1071

Keywords:

Seed bank, Germination, Annual plants, Difference Equations, Fuzzy inventory, Machine learning

Abstract

In this article, a mathematical fuzzy inventory model is formulated to describe the propagation of annual plants. We use fuzzy inventory numerical methods with the parameters ????, ????, ???? and ???? to represent the number of seeds produced by a plant, the percentage of one-year-old seeds that germinate, the percentage of two-year-old seeds that germinate, and the percentage of seeds that survive a given winter. In this fuzzy inventory model, the germination method of one year and two year old seedlings will be compared inside the dormant form of seeds for having survived a winter to a new generation. Germination methods such as micro-propagation will be employed. The result of plant increment will be monitored and determined by calculating using a machine learning approach.