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

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.