Academia.edu no longer supports Internet Explorer.
To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser.
2020, International Journal for Research in Applied Science and Engineering Technology IJRASET
https://doi.org/10.22214/ijraset.2020.5201…
9 pages
1 file
This paper presents the prototyped design of a wireless sensor network for shrimp pool in aquaculture. The system design in this paper includes a Raspberry Pi 3connected to Arduino Uno, Zbee S2C module, temperature sensor and other devices like Fan, aerator, light, DC motor and camera. These results of this help farmer log in apache server to check the temperature and manage the pool by auto-turn-on Fan when it is hot or turn on/off the aerator by the internet, control DC motor in 100m by Zigbee protocol or capture picture every 5 seconds to look at their pool when they are far away.
2021 International Conference on Applied Electronics (AE), 2021
This project analyses the optimal parameters for the shrimp farming, trying to help the aquaculture of Ecuador, using a cyberphysical system, which includes temperature, salinity, dissolved oxygen, and pH sensors to monitor the water conditions and an embedded system to control it using an XBee and ATMega328p microcontrollers to remotely activate and deactivate aerators to maintain the quality of each pool in neat conditions.
EMITTER International Journal of Engineering Technology
The main problems in the practice of traditional shrimp aquaculture are related with maintaining good water quality and reducing high operational cost. In this paper it will be described the application of wireless sensors and Android based application as mobile monitoring tool in achieving highly efficient shrimp aquaculture monitoring system. A set of four water quality parameter sensors (pH, temperature, conductivity and DO) were submerged into the pond using a buoy, in which an electronics and Xbee wireless transmitter have been installed to transmit the measured data into a fixed monitoring station. The main component of the fixed monitoring station was a smart data logger capable of performing automatic aeration system. Data transmission from the monitoring station to the master station was done through GSM/GPRS module of a Raspberry microcontroller. Using internet connection, a web based server has been developed from which the Android based application retrieved the measured...
International Journal on Advanced Science, Engineering and Information Technology, 2021
Aquaculture has become one of the livelihoods for people who live near the shore. Fish, shrimp, and crabs are cultivated using the traditional method, which still involves workers checking the vanammei shrimp pond's condition directly on site. We present a new technology for fish farming by using automation. An automation system is needed to control the system remotely so that the farmers can easily access the Water temperature, pH, and Salinity information. The proposed system consists of several parts; the first one is the sensors connected to the Arduino board, which is already equipped with the WeMos D1 mini-module (ESP8266EX). The module can connect the Arduino board to the web server and then transmit the data obtained from reading the temperature, pH, and Salinity sensors. Furthermore, the data will be stored on the webserver and processed and presented in graphical form-each sensor (pH, Salinity, Temperature) working based on the fuzzy logic rule. An android application also create to display the water condition of each shrimp pond. The Android application provides the reporting of daily monitoring of the pH, Salinity, and Temperature. The application also provides the control system to turn on/off the smart system; if the water condition is experiencing changes, the app will send a notification into the Smartphone. The weather changes have an impact on the success level of vannamei shrimp cultivation. Continuous rain conditions can adversely affect ponds' pH water conditions, temperature changes occurring pond water, changes in salinity and acidity, and hardness of the ponds water. Using a mobile application to monitor all parameters related will improve fish and shrimp cultivation.
— Internet of things is one of the rapidly growing fields for delivering social and economic benefits for emerging and developing economy. The field of IOT is expanding its wings in all the domains like medical,industrial,transportation,education,mining etc.Now-adayswiththe advancement in integrated on chip computers like Arduino, Raspberry pi the technology is reaching the ground level with its application in agriculture and aquaculture. Water quality is a critical factor while culturing aquatic organisms. It mainly depends on several parameters like dissolved oxygen,ammonia, pH, temperature, salt, nitrates, carbonates etc. The quality of water is monitored continuously with the help of sensors to ensure growth and survival of aquatic life. The sensed data is transferred to the aqua farmer mobile through cloud. As a result preventive measures can be taken in time to minimize the losses and increase the productivity.
The design of monitoring systems for marine areas has increased in the last years. One of the many advantages of wireless sensor networks is the quick process in data acquisition. The information from sensors can be processed, stored, and transmitted using protocols efficiently designed to energy saving and establishing the fastest routes. The processing and storing of data can be very useful for taking intelligent decisions for improving the water quality. The monitoring of water exchange in aquaculture tanks is very important to monitor the fish welfare. Thus, this paper presents the design, deployment, and test of a smart data gathering system for monitoring several parameters in aquaculture tanks using a wireless sensor network. The system based on a server is able to request and collect data from several nodes and store them in a database. This information can be postprocessed to take efficient decisions. The paper also presents the design of a conductivity sensor and a level sensor. These sensors are installed in several aquaculture tanks. The system was implemented using Flyport modules. Finally, the data gathering system was tested in terms of consumed bandwidth and the delay Transmission Control Protocol (TCP) packets delivering data from the sensors.
An automated monitoring system of wireless sensor networks for a fish farm Environment is established in this paper. This system allows the user to monitor the fish farm Environmental Data with Instant mastery and control over the various environmental data through mobile device. In this monitoring system the temperature, dissolved oxygen, PH value and water level sensing modules are incorporated. The MCU processing Unit is used to capture the physical sensing signal. ZigBee wireless sensor network brings the data to a central processing pivot. The Raspberry-Pi interface transfers the data to the user terminal device. The terminal device lends a hand to control the entire fish farm environment. The MSP430 series MCU, which is of low power, is the core of each sensing terminal and the central terminal. The spring of power supply can be battery-powered, standard electricity supply or solar battery powered. The UPS emphasizes the whole system by making secure with low-cost, low energy consumption, easy operating features with a high degree of freedom for this wireless aquaculture environment monitoring system.
IOER International Multidisciplinary Research Journal, 2020
This study is sought to address the problem of the 'manual' monitoring system which renders "low" accuracy on monitoring the water value. The existing practice of manual testing uses a refractometer to check the salinity level device and pond thermometers for testing the water temperature of fish farm water environment. It needs extra effort and more workers to regularly monitor such as: opening and closing the gate valve to control the level of fresh and saltwater needed to become accurate 'brackish' water. On the contrary, this research wants to establish an IOT-Based project to attempt solving this existing problem. Hence, this may create a unique system to help monitor and maintain the salinity, temperature and water level using the sensors that triggers the relay switches to automatically open or close the gate valves and operate the motors depending on the parameter's desirable range values that the sensors passed. The sensors and motors also monitor the pond environment between air and water for sufficient increase of oxygen concentration in farm water environment. Likewise, this new IOT-based monitoring system specifically uses Raspberry PI 3B+, Wemos Wireless Microcontroller, Sensors (for water level, conductivity, temperature, toxic gases) and Relay Switches, Equipment (i.e. paddle wheel aerator, water pump and pipe valve), Computer and Mobile Phone, Long Range access point/Point to Point network to cover the entire fish farming areas for wide ranges wireless connectivity, and USB modem which sends SMS messages to keep the management updated with the current water behavior in the farm.
International Journal of Recent Technology and Engineering (IJRTE), 2019
This study presents the design and development of a precision fishing technology utilized in water quality monitoring with phytoremediation system using a Zigbee-based Wireless Sensor Network. The system afforded a real-time water quality monitoring using multiple sensors spatially deployed. The sensor node implemented in the Wireless Sensor Network to perform data sensing utilities with the water quality parameters including the water temperature, pH level, water dissolved oxygen and the water level during high-tide and low-tide. During the development, a P89V51RD2 microcontroller, ZigBee module with IEEE 802.15.4 standard, and radio frequency (RF) transceiver were utilized. The developed precision fishing technology utilized the Internet of Things architecture. The IoT device layer includes the temperature sensor, pH sensor, dissolved oxygen sensor, and the water level sensor. Phytoremediation was also used as an alternative solution for soil and water remediation. Further studies...
nimhans.kar.nic.in
Are people who commit crimes different from those who do not? How are they deviant? What are the social and economic factors that influence these behaviours? Are the stressful situations they face very unlike what others face? These are the common questions which come up. Answers to these questions can be provided from various perspectives. A sociological perspective might look at factors like discrimination; role of media; illiteracy; law and order in the society etc., An economic perspective would focus more on aspects like poverty, scarcity of resources; rise in prices etc., A psychological perspective would be from internal factors such as personality, temperament, emotions, greed, jealousy and impulsivity of a person. While sociological and economic factors have been studied in depth, factors such as personality and temperament have not got much attention. This chapter looks at criminal and deviant behaviour as a product of dysfunctional personality and focuses more on problematic personality disorders in prisons and how they can be managed.
Dimensões - Revista de História da UFES, 2023
RANKZ PUBLISHERS, 2024
Jahrbuch für Historische Kommunismusforschung 2004, p. 181-270, 2004
Revista da Associação Médica Brasileira
Military Review, 2024
NTT Journal forTheology and the Study of Religion, 2021
Expert Opinion on Therapeutic Patents, 2019
Renewable and Sustainable Energy Reviews, 2013
Journal of Experimental Marine Biology and Ecology, 2009
Revista Ciencias Veterinarias, 2014
Jurnal Teknik Sipil, 2020
Open Journal of Forestry, 2020
Journal of Infectious Diseases, 2011
Clinical and Experimental Immunology, 2010