2018
DOI: 10.5815/ijem.2018.06.05
|View full text |Cite
|
Sign up to set email alerts
|

Automatic IoT Based Plant Monitoring and Watering System using Raspberry Pi

Abstract: The main objective of this proposed work is to develop an Embedded System for plant monitoring and watering system using Internet of Things, Raspberry Pi as Processor, and sensors for sensing environmental conditions. In this work, IoT concept is introduced to connect devices through Internet and facilitate information access by the users. The system can obtain accurate perception of Environmental information in agriculture field and then transmit the same to users. The system monitors different parameters lik… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0
1

Year Published

2020
2020
2023
2023

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 17 publications
(9 citation statements)
references
References 7 publications
(10 reference statements)
0
5
0
1
Order By: Relevance
“…SEM systems, including air quality evaluation, water pollution, and agricultural monitoring systems and subsidiary implementations of the three major studies, were investigated in this survey. The contributions included a broad range of SEM approaches, including air quality assessments, for various purposes [7,15,16,[42][43][44][45][46][47][48][49]; water pollution control methods [18][19][20][34][35][36][37][38][39][40][41]; and smart agriculture monitoring systems [17,[25][26][27][28][29][30][31][32][33].…”
Section: Discussion and Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…SEM systems, including air quality evaluation, water pollution, and agricultural monitoring systems and subsidiary implementations of the three major studies, were investigated in this survey. The contributions included a broad range of SEM approaches, including air quality assessments, for various purposes [7,15,16,[42][43][44][45][46][47][48][49]; water pollution control methods [18][19][20][34][35][36][37][38][39][40][41]; and smart agriculture monitoring systems [17,[25][26][27][28][29][30][31][32][33].…”
Section: Discussion and Analysismentioning
confidence: 99%
“…Anusha et al [33] developed a smart system for plant surveillance and watering using IoT, a Raspberry Pi processor, and sensors to detect environmental conditions. The machine will accurately understand and then relay to user's environmental information in agriculture.…”
Section: Agriculture Monitoring Based Iotmentioning
confidence: 99%
“…According to [2], the rate at which the world grows, digital design has the role of ensuring efficiency and speed, whereby the design of asynchronous processor is to reduce the challenges that are faced in synchronous architecture, this was collaborated by [3] by proposing the concept of Internet of Things (IoT) technology, which was used to connect devise for collecting information whereby improvement was made in agriculture for rural and urban areas where embedded system for plant monitoring and watering system using IoT. A sensor was used to get possible outcome and then transmit such to the user.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Continuous increasing demand for food with the world population heading to around 8,501 million in 2030 [1], hence rapid development in food production method is highly needed. Suggested by [2], need for the synchronization of the world to digital design will guarantee efficiency, quality and speed, the idea was supported by [3] producing knowledge of Internet of Things (IoT), this was supported with the project proposed in [4] that uses IoT to control home appliances. Queue management was another area included in the new trends of technology, a design to help in queue management in the hospital was proposed in [5] for easy services and productivity, also the use of the ultrasonic sensor in [6] that eliminate the hazardous effect of copper wire reaffirmed the significance of emerging technology and image processing is also another add up to the trend [7].…”
Section: Introductionmentioning
confidence: 99%