2021/07/29 by Aditya Jyoti Paul, Paul, Aditya Jyoti
Environmental Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Turtle Biology and Conservation #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2107.14061
openalex publication_date 2021/07/29 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
For over hundreds of millions of years, sea turtles and their ancestors have\nswum in the vast expanses of the ocean. They have undergone a number of\nevolutionary changes, leading to speciation and sub-speciation. However, in the\npast few decades, some of the most notable forces driving the genetic variance\nand population decline have been global warming and anthropogenic impact\nranging from large-scale poaching, collecting turtle eggs for food, besides\ndumping trash including plastic waste into the ocean. This leads to severe\ndetrimental effects in the sea turtle population, driving them to extinction.\nThis research focusses on the forces causing the decline in sea turtle\npopulation, the necessity for the global conservation efforts along with its\nsuccesses and failures, followed by an in-depth analysis of the modern advances\nin detection and recognition of sea turtles, involving Machine Learning and\nComputer Vision systems, aiding the conservation efforts.\n