Experimental Study on a Reliable Smart Hydroponics System

Author:

Kumara Varuna1,Mohanaprakash T. A.2,Fairooz Shaik3,Jamal K.4,Babu T.5,B. Sampath6

Affiliation:

1. Moodlakatte Institute of Technology, India

2. Panimalar Engineering College, India

3. Malla Reddy Engineering College, India

4. GRIET, India

5. St. Joseph's College of Engineering, India

6. Mythayammal Engineering College, India

Abstract

Hydroponics is becoming increasingly popular because it can be used in unconventional locations such as inside warehouses, marginal lands, and water-scarce regions. Hydrogen (pH), nutrient level, water level, temperature, and other parameters must be monitored on a daily basis in a typical hydroponic design. A hydroponic setup that is not dependent on the environment outside has been developed. The technology consumes less water and fertiliser as compared to a soil-based system. This system uses the idea of a relay and alarm connected to a microcontroller to make sure that nutrient solution is always available. The creation of an internet of things (IoT) network enabled remote parameter monitoring and control, which increased system stability. In addition to measuring and controlling the water level, pH, water stream rate, and EC at this time, the numerous sensors attached to the NFT framework support gathering fundamental system information.

Publisher

IGI Global

Reference11 articles.

Cited by 47 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. Intelligent Physarum Solver for Profit Maximization in Oligopolistic Supply Chain Networks;Advances in Logistics, Operations, and Management Science;2024-02-23

2. Applications of Machine Learning in Education and Skill Developments;Facilitating Global Collaboration and Knowledge Sharing in Higher Education With Generative AI;2024-02-02

3. Sustainable Green Energy Generation From Waste Water;Practice, Progress, and Proficiency in Sustainability;2024-01-05

4. Energy and Battery Management in the Era of Cloud Computing;Practice, Progress, and Proficiency in Sustainability;2024-01-05

5. Intelligent Machines, IoT, and AI in Revolutionizing Agriculture for Water Processing;Handbook of Research on AI and ML for Intelligent Machines and Systems;2023-11-27

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