Open AccessSelf-Automated Agriculture System using IoT
Author(s) -
Kannan Krishnan,
K. Jerusha,
Poonam Tanwar,
Mukesh Kumar Singhal
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f7264.038620
Subject(s) - population , agricultural productivity , agriculture , automation , computer science , engineering , geography , mechanical engineering , demography , archaeology , sociology
The world populationsupposed to reach 9.8 billion by 2050 and is difficult of feed such population . So for feeding the entire population the agriculture sector should be embed with IOT and farmers also should adopt this technology [1]. It is essential to increase the productivity of farming and agricultural process with the help of technologies like IoT.IoT can make farming easier by reducing the cost by decreasing the intervention of farmers in this field through automation. This paper aim is to develop a self- autonomous agriculture system works by connecting physical devices and systems to the internet. IoT is a very promising technology to drive the agricultural sector, it is the backbone for sustainable development mainly in developing countriesthat are experiencing rapid population growth like China, India etc, stressed natural resources, agricultural productivity reduction due to climate change. Hence the paper aims at making the agriculture smart using IoT technologies. The projects include a GPS based robot to perform tasks like weeding, spraying, moisture sensing, bird scaring, keeping vigilance, etc. This project requires smart irrigation with smart control and best decision making based on accurate real time data. Thisincludes crop management, waste management, warehouse management, theft control etc. Controlling of all the operations will be through a remote smart device like phone or computer connected to Internet and the operations will be performed by using sensors, Wi-Fi or ZigBee modules, cellular, LoRa,camera and actuators with micro-controller and raspberry pi [2].