scholarly journals Intelligent greenhouse monitoring and control scheme: An arrangement of Sensors, Raspberry Pi based Embedded System and IoT platform

2020 ◽  
Vol 13 (27) ◽  
pp. 2811-2822
Author(s):  
Jehangir Arshad ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 284-291 ◽  
Author(s):  
Abd Kadir Mahamad ◽  
Sharifah Saon ◽  
Hamimi Hashim ◽  
Mohd Anuaruddin Ahmadon ◽  
Shingo Yamaguchi

Emergence of Industry 4.0 in current economic trend promotes the usage of Internet of Things (IoT) in product development. Counting people on streets or at entrances of places is indeed beneficial for security, tracking and marketing purposes. The usage of cameras or closed-circuit television (CCTV) for surveillance purposes has emerged the need of tools for the digital imagery content analysis to improve the system. The purpose of this project is to design a cloud-based people counter using Raspberry Pi embedded system and send the received data to ThingSpeak, IoT platform. The initial stage of the project is simulation and coding development using OpenCV and Python. For the hardware development, a Pi camera is used to capture the video footage and monitor the people movement. Raspberry Pi acts as the microcontroller for the system and process the video to perform people counting. Experiment have been conducted to measure the performance of the system in the actual environment, people counting on saved video footage and visualized the data on ThingSpeak platform.


Author(s):  
Tripura Pidikiti , Et. al.

A Greenhouse is a framed structure that is used for the production of fruits, vegetables, flowers, and any other plants that require special conditions of temperature and humidity. Greenhouses warm up during the day-times when sun-rays penetrate through them, which heat the plant, soil and the structure. The greenhouse effect is a natural phenomenon and is very beneficial to the human being. With lack of proper green house monitoring and control system the production decline which leads to loss.There are many challenges starting from plant growth to maintenance for which monitoring and control of greenhouse is needed. This paper explains the design and implementation of a network with wireless sensors for greenhouse environment monitoring and controlling. This greenhouse control system is controlled by Raspberry pi with its wifi capability that is attached to a temperature sensor, soil moisture sensor, Light Dependent Resistor (LDR) sensor, 12V DC fan and pump. With the monitoring and control of greenhouse the performance of the system and production can be increased. A prototype was designed and builtup whose results were presented.


1998 ◽  
Vol 37 (12) ◽  
pp. 27-34
Author(s):  
R. Huntington

Wessex Water Authority was established in 1974 to manage water supplies, sewerage and sewage treatment in its area. The shortcomings of inherited assets demonstrated the need for better monitoring and control of water and waste water facilities. It was recognised that new developments in ICA could make a vital contribution to better management of assets. Accordingly, over ensuing years, a framework for a regional monitoring and control scheme was developed and established. Over the past two decades experiments with new and developed equipment and techniques have given beneficial results but there have been some disappointments. Development of the scheme is described briefly and comments made on identified improvements to on-line and off-line systems. Some disappointments are also discussed. Human aspects also receive attention. Further desirable improvements are presented.


2012 ◽  
Vol 442 ◽  
pp. 477-481
Author(s):  
Man Man Du ◽  
Feng Jin

In this paper, one kind of quad-rotor UAV (unmanned aerial vehicle) controller is designed according to analyze its structure and function. The hardware platform is established based on DSP MC56F8037, inertial sensor unit, as well as facilities that make it suitable for the dynamic system. According to the analysis of the working principle of the quad-rotor, the nonlinear dynamic model is established. This is a hierarchical embedded model based control scheme that is built upon the concept of backstepping, the simulation result shows the controllers are valid. This realization makes a great progress in the development process of a more advanced realization of an UAV suitable for practical applications.


2007 ◽  
Vol 40 (1) ◽  
pp. 204-210 ◽  
Author(s):  
A. Gonzalez ◽  
A. Crespo ◽  
J. Simó ◽  
I. Ripoll ◽  
M. Masmano

Author(s):  
Monika Arora ◽  
Anubha Jain ◽  
Shubham Rustagi ◽  
Tushar Yadav

In the last few decades, the number of active vehicle population has increased drastically which has made it difficult for the authorities to keep a track of them as well as to identify the vehicle owner in case of any traffic violation. Automatic Number Plate Recognition System (ANPR) is a real-time machine-intelligent and embedded system which identifies the characters directly from the image of the number plate. Due to crucial research and development of technology and the increasing use of vehicles, the need for a machine-oriented recognition and monitoring system is of immense importance. The technology has become a major requirement and is playing a crucial role in a vast sea of applications related to automated transport monitoring and control system such as traffic monitoring, challan management, detection of stolen vehicles, electronic payment of tolls on highways or bridges, parking lots access control, etc. This technology requires extensive mobility and station flexibility which causes it to be installed on such hardware that is very mobile enough so that the operator can use it very efficiently. ANPR System through the use of Optical Character Recognition (OCR) makes the system to be used as an application on smartphones. This provides the operator to use the system and identify number plates by just capturing the image and processing by neural networks working in the background of OCR. The ANPR system as a whole will result in easy and safe monitoring of the traffic and to keep an easy record in case of any violation. Also, it will save individuals to save their time in standing at long queues at toll taxes and paying cash which will be done with the ANPR system and using E-wallet.


2021 ◽  
Author(s):  
Chitra Murugan

Low cost cellulase production has become a major challenge in recent years. The major hurdle in the production of biofuel and other products from biomass is the lack of efficient economically feasible cellulase. This can be achieved by proper monitoring and control of bioprocess. In order to implement any control scheme, the accurate representation of the system in the form of a model is necessary. There are many challenges associated with modeling the fermentation process such as inherent nonlinear dynamic behavior, complexity of process due to co-existence of viable and nonviable cells, presence of solid substrates, etc. Toward the achievement of this goal, researchers have been developing new techniques that can be used to monitor the process online and at-line. These newer techniques have paved the way for designing better control strategies that can be integrated with quality by design (QbD) and process analytic technology (PAT).


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