Open Access
Artificial Intelligence in Indian Irrigation
Author(s) -
Sunil Kumar
Publication year - 2019
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit195536
Subject(s) - agriculture , agricultural productivity , agricultural engineering , irrigation , agricultural machinery , engineering , business , agricultural economics , economics , geography , agronomy , biology , archaeology
Agriculture Automation is the major concern for India owing to the agricultural complexities resulting in decreased production of the crop and farmers commit suicide due to the heavy loss incurred . India is considered to be an agricultural country where farming and agriculture is the main occupation throughout. With the increase of population, the food demand is ought to increase manifold, thereby, the need of advanced agricultural systems has been elevated. It is imperative to apply artificial intelligence in irrigation process to increase the production. Various implementations have been made with the help of Artificial Intelligence and other Expert Systems. This research paper focuses on the use of Artificial Intelligence in Indian Irrigation. Further it focusses on the blending of embedded technology and Artificial Intelligence in agricultural sector. There are some areas which create hindrance in the agricultural fields like storage management, water management, control of pesticides and fertilizers, crop diseases, and lack of irrigation. These are some of the major problems that are faced by the Indian agricultural sector. India is facing a lot of issues of availability of water for irrigation and government is working for the same in order to implement automation in agricultural sector. Agricultural Automation concentrating more on efficient irrigation can be achieved by making use of the latest technologies like Artificial Intelligence and Machine Learning. Arduino and Raspberry devices can be embedded with moisture and temperature sensors along with the help of Machine Learning algorithms to attain advancement in irrigation. The world is getting advanced in terms of technology and the data storage as well as management of sensors is shifted towards online cloud. This makes it easy for the users to access the data from anywhere at any moment. Automatic irrigation is a vital topic for the evapotranspiration process and the crop prediction. Evapotranspiration process is the process of water management and the hydrologic cycle to develop a sustainable irrigation method. The paper discusses the application of Artificial Intelligence and other embedded systems in the agricultural sector by keeping in mind the past breakthroughs. The problem of water usage that is faced by the farmers will be solved with the help of the smart irrigation system. It is a fully automated irrigation system that is easily accessible and very beneficial for the future of agriculture.