A Raspberry Pi-Powered IoT Smart Farming System for Efficient Water Irrigation and Crop Monitoring

Author:

Chong Peng Lean ,Gophinath Krishnan ,Chen Li ,Kong Feng Yuan ,Ng Poh Kiat ,Basir Khan Mohammed ReyasudinORCID

Abstract

Water irrigation remain as a challenge to supply adequate amount of water to sustain the growth of plant and crops yield along the year in certain part of the world which are heavily affected by climate change. This scenario creates a huge risk toward the world food supply chain. Hence, the application of smart farming system is crucially important now to pave the way for a better the agriculture monitoring system to replace traditional manual monitoring labour by farmers. The smart farming system are usually equipped with environmental stimuli sensing system such as temperature, humidity, soil moisture, light intensity sensing sensors coupled with automation actuators to control the water irrigation rate for the crops in order to save water and at the same time provide adequate water supply for plant growth. The aim of using such smart farming system is to enable higher crops production and less human labour at the same time optimising resources available to minimize cost of farming. Hence, this paper aims to introduce a novel approach of a Raspberry Pi powered IoT smart farming system (ISFS) which can incorporate autonomous monitoring of plant irrigation, temperature, humidity, soil moisture and light intensity, to design a smartphone app that allows users to monitor plantation-related conditions in a user-friendly manner, and to enable automatic control of a drip irrigation system for plants based on data obtained on soil moisture, temperature and sunlight intensity. The proposed prototype with the functionality mentioned is aim to resolve the existing problem and to meet the demand of smart farming application in current era.

Publisher

Penteract Technology

Reference30 articles.

1. Molotoks, A., Smith, P., & Dawson, T. P. (2020). Impacts of land use, population, and climate change on Global Food Security. Food and Energy Security, 10(1). https://doi.org/10.1002/fes3.261

2. Caparas, M., Zobel, Z., Castanho, A. D., & Schwalm, C. R. (2021). Increasing risks of crop failure and water scarcity in global breadbaskets by 2030. Environmental Research Letters, 16(10), 104013. https://doi.org/10.1088/1748-9326/ac22c1

3. Chellam, R. (2020, September 29). Econ 4.0: Why focus on farming? The Edge Markets. Retrieved December 7, 2021, from https://www.theedgemarkets.com/article/econ-40-why-focus-farming

4. Ritchie, H., & Roser, M. (2017, November 20). Water use and stress. Our World in Data. Retrieved November 2, 2021, from https://ourworldindata.org/water-use-stress

5. Gleick, P. H. (2014). The World's water the biennial report on Freshwater Resources. Island Press/Center for Resource Economics

Cited by 4 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. Immersive Horizons Exploring Virtual Reality, Augmented Reality, and the Metaverse in Game Development - A Comprehensive Review;Malaysian Journal of Science and Advanced Technology;2024-06-30

2. IoT-enabled Greenhouse Systems: Optimizing Plant Growth and Efficiency;Malaysian Journal of Science and Advanced Technology;2024-04-08

3. IoT-enabled Smart Weather Stations: Innovations, Challenges, and Future Directions;Malaysian Journal of Science and Advanced Technology;2024-04-08

4. Improving Fish Quality and Yield: An Automated Monitoring System for Intensive Aquaculture;Malaysian Journal of Science and Advanced Technology;2024-04-06

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