Reducing Poaching in Elephant Populations on Random Forest Algorithm

Abstract

Although most countries have established bans on the ivory trade, the illegal ivory trade continues to be a serious threat to the lives of populations due to, among other things, the existence of legal stockpiles and the desire for artifacts. To address this challenge, we have initiated a five-year data-focused program, the Ecological Tracking and Intelligent Prevention System (ETIPS). By utilizing random forest algorithms to predict areas where poachers are likely to be active, the project aims to open up new avenues for elephant conservation. This paper describes in detail the conceptualization and implementation plan of the project, and provides an in-depth analysis of the effectiveness of the project after implementation based on existing data. By providing theoretical support for the model's tracking effects and conservation outcomes, we expect to be able to provide more effective strategies and solutions for protecting these precious lives.