Design and Development of Internet of Things based Autonomous Boat for Aquatic Weed Inhibition and Water Quality Assessment

Abstract

Lakes and ponds are the major sources of water that are commonly found in every village and religious place in many countries. Lakes account for about 0.3 % of the 2.5 % of surface water. In recent years, lakes are slowly vanishing due to weed growth and lake sediments. Clearing the sediments and muddy lakes costs a heavy price and this is recurrent that needs regular maintenance. Also, garbage deposition on lake water is a major concern which results in water contamination. Many lakes and ponds have become non-usable water sources due to weed growth and pollution. Causes of pollution depend on various factors such as garbage deposition, unnoticed animal and/or human bodies, hazardous chemicals, etc. Mud deposits may be recurrent if not maintained regularly. Various methods are employed so far to solve these issues. However, the traditional manual approach is inefficient and labor-intensive. In the proposed work, an automated system is designed to maintain the cleanliness of the water. This is an initiative wherein the boat can make its own decision while maneuvering and even when it encounters an obstacle and can return to the charging point to recharge by itself when its battery is low while making sure of very low or minimal weed growth. This is designed to inhibit the growth of weeds on surface water and to assess the quality of water by measuring pH and turbidity levels regularly. Hence, such a system will definitely help mankind and animals.