Automated Irrigation System For Agriculture

Author:

Abstract

About 70% of Indian population does the farming, and hence the Research and Development in this area is very much needed. This article presents a beginner model of an irrigation system to increase agricultural productivity and quality. The significant variables influencing farm productivity, development and quality are temperature, humidity, carbon dioxide concentrations and many others. The proposed system periodically measures these parameters and is reported on the website. This study tries to automate the irrigation process in farmland by controlling the soil's water level relative to the grown plant and spraying water to simulate the impact of rain and mobile phones on simple access for farmers or farm professionals. By tracking these parameters on an ongoing basis, the farmer can evaluate the ideal environmental circumstances and act accordingly to obtain maximum crop productivity and further gain energy savings. The proposed system is tightly coupled with latest technological advancements including Cloud computing, Internet of Things and others.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Electrical and Electronic Engineering,Mechanics of Materials,Civil and Structural Engineering,General Computer Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design and Development of Solar Powered Automatic Irrigation System for Modernization of Agriculture;AGRIVITA Journal of Agricultural Science;2023-02-01

2. IoT based smart irrigation system;INSTRUMENTATION ENGINEERING, ELECTRONICS AND TELECOMMUNICATIONS – 2021 (IEET-2021): Proceedings of the VII International Forum;2023

3. Survey on Various IOT-Based Irrigation Techniques in India;ICT Infrastructure and Computing;2022-11-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3