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Smart Irrigation system using Internet of Things
, N. Sampath, M.A. Jerlin
Published in Institute of Electrical and Electronics Engineers Inc.
2020
Abstract
Central Intelligent Agency (CIA) fact book ranked India a number 2 out of 238 countries. India takes of 17% of world's population, but with 4% of fresh water resource. Out of which SO% of water is used for agriculture. Country like India, has very good natural resources, but not used in a congruous way. This lead to make water as an adequate resource. So it is time for us to utilized the available water in an efficient way and to amend the victuals productivity of the nation to compete with the world's growth. The most critical thing is to manage the water system with the available amount of water. In most of the agriculture lands the crops are over watered with out checking the soil dampness. This leads to the waste of water resource which can be utilized in some other areas where there is in need of water. Issue related water system are constantly obstructing the improvement of the nation. So to enhance the water management system, some of the smart techniques are evolved. The paper is to present an internet of things (IOT) based smart irrigation system to identify the dampness in the soil and to control the watering of the crops automatically. The primary motivation behind the ventures to keep up soil dampness level so that there is no damage to the harvests. Soil dampness sensors fundamentally utilized for estimating the gauge volumetric water content. Microcontroller are utilized for getting the information from the water system sensors and after that pass the information on the web utilizing GPRS module. The most intriguing highlights of this activities are shrewd water system with brilliant control and around right choice dependent on the continuous field information. The controlling procedure of these tasks should be possible utilizing the remote sensors or framework associated with the Internet and every one of the activities should be possible by combining every one of the sensors, for example, WI-FI or THINGS SPEAK modules. Since much of the general population are not known with the smart techniques, the primary focus is to make common layman to know and to use these techniques to improve the productivity with adequate resources. © 2020 IEEE.