Smart drip irrigation system using raspberry pi and arduino

Agrawal, Nikhil; Singhal, Smita

doi:10.1109/ccaa.2015.7148526

Cited by 117 publications

(37 citation statements)

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“…Drip irrigation system [9]. developed by using raspberry pi and Arduino which send's the mail for both switches ON and switch OFF the water tap for a specific time which is mention within the mail.…”

Section: Literature Surveymentioning

confidence: 99%

Sustainable and Portable Low Cost IOT Based Terrace Model to Grow True Organic Greens

Rekha*,

Nikhath,

Nagini

et al. 2019

IJEAT

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In today's urban life where we have limited space for our gardens and limited time to monitor the needs for the growing organic greens, a perfect solution would be an Automated IOT (Internet of Things) based Terrace Model. This can certainly provide the best performance, since it may employ decentralized data processing to make important decisions in greens management in a smart manner. This automated system helps in ploughing the soil, sowing seeds, automatic watering to control the moisture level in the soil, observe the live streaming of greens growth in our smart phones until harvesting. It also ensures that Organic Greens receive ideal attention, best agricultural conditions, natural fertilizers and compost (derived from kitchen waste) without any human intervention. This will encourage in growing our own organic greens in an automated way within limited space. In low-expense, this sustainable system can perform plowing of the soil, injecting the seed's, irrigation process along with the live streaming of plants. In addition to this, the end-user can monitor the parameters recorded by the sensors such as soil moisture level, humidity value, temperature level etc. The user will get messages about which plants need to be growing based on the soil conditions along with that they get a message about the intruder. The entire data about the sensors and the system will be stored in the database and time to time modified values will be updated. The modular system will reduce the human effort, labor cost, power consumption, water usage etc. The user can grow different species of leafy vegetables that can be easily maintained and monitored without any effort.

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Section: Literature Surveymentioning

confidence: 99%

Sustainable and Portable Low Cost IOT Based Terrace Model to Grow True Organic Greens

Rekha*,

Nikhath,

Nagini

et al. 2019

IJEAT

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“…Raspberry pi acts a central coordinator and end devices act as various routers. [7] Wireless sensor network, and software for real-time in-field sensing and control of a site-specific precision linear-move irrigation system. The process of using either fully wired or wireless systems may create some problems.…”

Section: Literature Reviewmentioning

confidence: 99%

Design and Development of Iot Based Smart Irrigation System for Agriculture

2017

IJAERD

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“…There are several causes of traffic accidents such as the operator's consciousness, use of the phone, drug or alcohol use, fatigue which leads to drowsiness and loss of concentration. So far, several techniques for detecting drowsiness have been studied [3][4][5][6][7][8][9][10][11][12][13][14][15][16], which can be divided into three basic directions as follows:…”

Section: Introductionmentioning

confidence: 99%

“…A camera is mounted in the vehicle to capture the driver's face and constantly monitor the driver's eyes and mouth. The Raspberry Pi 3 kit is responsible for analysing the frames continuously and warning the driver in real time if there is an abnormal detection so that the driver can focus again [6,7]. Thanks to its small size, it can be easily equipped in any type of vehicle.…”

Section: Introductionmentioning

confidence: 99%

A driver drowsiness and distraction warning system based on raspberry Pi 3 Kit

Thanh¹,

Linh²

2019

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In this article, a system to detect driver drowsiness and distraction based on image sensing technique is created. With a camera used to observe the face of driver, the image processing system embedded in the Raspberry Pi 3 Kit will generate a warning sound when the driver shows drowsiness based on the eye-closed state or a yawn. To detect the closed eye state, we use the ratio of the distance between the eyelids and the ratio of the distance between the upper lip and the lower lip when yawning. A trained data set to extract 68 facial features and "frontal face detectors" in Dlib are utilized to determine the eyes and mouth positions needed to carry out identification. Experimental data from the tests of the system on Vietnamese volunteers in our University laboratory show that the system can detect at realtime the common driver states of "Normal", "Close eyes", "Yawn" or "Distraction".

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Smart drip irrigation system using raspberry pi and arduino

Cited by 117 publications

References 0 publications

Sustainable and Portable Low Cost IOT Based Terrace Model to Grow True Organic Greens

Sustainable and Portable Low Cost IOT Based Terrace Model to Grow True Organic Greens

Design and Development of Iot Based Smart Irrigation System for Agriculture

A driver drowsiness and distraction warning system based on raspberry Pi 3 Kit

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