Automatic Watering System for Tomato Plants Based on Soil Moisture Detection

S. Praptodiyono, Wawan Setiawan, Sumardi Sadi
{"title":"Automatic Watering System for Tomato Plants Based on Soil Moisture Detection","authors":"S. Praptodiyono, Wawan Setiawan, Sumardi Sadi","doi":"10.46962/FORTEIJEERI.V1I1.3","DOIUrl":null,"url":null,"abstract":"Water is the main element of growth for tomato plants; a further suitable watering system of the plants should be taken into consideration. Tomato plants require water that is under ideal soil moisture conditions so the plants can continue to flourish. Problems occur during the dry season; farmers must pay extra for watering. In order to address the problem, an automatic tomato plant watering system is needed. The system should streamline the use of water as well as the energy and costs of farmers in tomato cultivation. This research aims to find out the watering system prototype to tomato plants that use the solar cell as the energy supplier. The system used a control system with Arduino UNO as soil moisture levels detection. A DC pump is connected to the control system to supply water when law level soil moisture detected. Experiments were done to test the prototype using 25 tomato plants. The results showed the system could control soil moisture 65% - 90% and streamline water usage by 24.71 liters per month. The 50 Wp Solar Cell can charge 20 Ah battery with an average charging current of 0.78 A, and the charging time is 7 hours per day.","PeriodicalId":175469,"journal":{"name":"Journal FORTEI-JEERI","volume":"217 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal FORTEI-JEERI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46962/FORTEIJEERI.V1I1.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Water is the main element of growth for tomato plants; a further suitable watering system of the plants should be taken into consideration. Tomato plants require water that is under ideal soil moisture conditions so the plants can continue to flourish. Problems occur during the dry season; farmers must pay extra for watering. In order to address the problem, an automatic tomato plant watering system is needed. The system should streamline the use of water as well as the energy and costs of farmers in tomato cultivation. This research aims to find out the watering system prototype to tomato plants that use the solar cell as the energy supplier. The system used a control system with Arduino UNO as soil moisture levels detection. A DC pump is connected to the control system to supply water when law level soil moisture detected. Experiments were done to test the prototype using 25 tomato plants. The results showed the system could control soil moisture 65% - 90% and streamline water usage by 24.71 liters per month. The 50 Wp Solar Cell can charge 20 Ah battery with an average charging current of 0.78 A, and the charging time is 7 hours per day.
基于土壤水分检测的番茄植株自动浇水系统
水是番茄植株生长的主要元素;应进一步考虑植物的适当浇水系统。番茄植株需要在理想土壤湿度条件下的水分,这样植株才能继续茁壮成长。问题发生在旱季;农民必须支付额外的水费。为了解决这个问题,需要一个自动番茄植株浇水系统。该系统将简化番茄种植过程中农民对水、能源和成本的使用。本研究旨在寻找以太阳能电池为能源来源的番茄灌溉系统原型。该系统采用Arduino UNO控制系统作为土壤湿度检测。当检测到土壤湿度时,控制系统连接直流泵供水。实验用25株番茄来测试原型。结果表明,该系统可控制土壤湿度65% ~ 90%,每月节约用水24.71升。50wp太阳能电池可以为20 Ah的电池充电,平均充电电流为0.78 A,每天充电时间为7小时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信