scholarly journals An Application of the Internet of Things on Sustainable Aquaculture System

2021 ◽  
Vol 16 (2) ◽  
pp. 061-065
Author(s):  
SANTHOSH K
Keyword(s):  
Internet Of Things ◽  
Fish Farming ◽  
Farming System ◽  
Food Sources ◽  
The Internet ◽  
Additional Energy ◽  
Living Space ◽  
Course Of Action ◽  
Calcium Iron ◽  
The Internet Of Things

Hydroponics is one of the human significant food sources. This paper proposed the model of the system, Feasible Fish-Farming System (SFFS), which can make the water cultivating framework more practical, employing applying the Internet of things (IoT) to lessen the need for energy for controlling the climate. Little freshwater fish species (SFFs) (length <25 cm) are exceptionally plentiful in nutrient A, calcium, iron and so on and consequently can add to social wellbeing through a supplement to country networks. Under the pressing factor of broad current rural practices and aimless collecting, loads of SFFs are step by step declining, and their environments and favourable places are likewise being crumbled at a quicker rate. A superior protectionist approach could be the carp-SFFS combination which will decrease aimless mass catch fishing of SFFs and will guarantee the preservation of normal SFFs stocks in their territories giving financial advantage to partners. Various investigations have effectively showed an example of overcoming adversity of SFF polyculture through carp—SFFs joining. This creation cum preservation practice prompts manageability—a superior term in the fishery is 'social fishery'. The part that needs consideration is the taking care of nature of SFFs to comprehend inside and between species (with carps) food apportioning and living space inclination as better culture cum conservational approach. Exploration in hydroponics is a contribution to increment settled creation. In the last decade, different researchers have supported attempts that came about in advancing current creation advances that have altered homestead creation. Fish developing is having the chance to be a champion among the most remunerating ambitious activities on account of the low advancement, insignificant exertion course of action-adventure and the 3 to half-year gathering cycles. IoT advancements have altered homestead creation in the country. In this paper, we propose an idea to distinguish far off observing the fish cultivating framework by utilizing the different sensors to diminish the dangers. In this paper, we utilize different sensors like pH worth, temperature and level sensors. By utilizing these sensors, all the work is mechanized, and it will likewise be not challenging to screen the fish cultivating distantly from other areas. The SFFS coordinates the sun-based homestead and fish-ranch to lessen the additional energy input. Furthermore, the lighting of LEDs is utilized to help the photosynthesis in the evening. This way is more energy-proficient than the customary siphoning. Besides, this model shows the subjective accessibility of SFFS.

scholarly journals Development of Automatic Home-Based Fish Farming using the Internet of Things

2019 ◽  
Vol 8 (2) ◽  
pp. 3308-3315
Keyword(s):  
Internet Of Things ◽  
Error Rate ◽  
Web Application ◽  
Fish Farming ◽  
Farming System ◽  
Fish Pond ◽  
The Internet ◽  
Small Fish ◽  
Home Based ◽  
The Internet Of Things

This research purposed to design an automatic home-based fish farming using the internet of things and to evaluate its efficiency. There were 3 processes in this research: 1. creating a home-based fish farming environment (fish pond) 2. designing and developing home-based fish farming by using the internet of things and 3. experimenting and implementing the system. The fish pond (90 x 180 x 50 cm) was made up of 90 blocks. It was coated with waterproofed plastic in order to contain a maximum of 80 cm x 170 cm x 40 cm. or 0.544 m3 of water. The automatic home-based fish farming system using the internet of things consisted of 6 parts in the form of 1. A NodeMCU Microcontroller 2. An automatic fish feeder 3. A relay module 4. Home Wi-Fi 5. Web Application 6. Line Notify. The NodeMCU Microcontroller was the main module use to control the automatic working of the system. The experiment resulted in a number of findings. Firstly, Fish feeder experiment, Experiment for the fish feeder to release food for 30 grams, 5 times, average time 23 seconds, error rate + 8.70%, -7.25%; Experiment for the fish feeder to release food for 45 grams, 5 times, average time 35 seconds, error rate + 10.00%, -8.57%; Experiment for the fish feeder to release food for 60 grams, 5 times, average time 48 seconds, error rate + 2.08%, -5.27%; finally, 75g fish feeder, 5 times, average time 75 seconds, error rate +8.33%, -8.02%. As a result, the dispensing variation was no more than ±10%. Secondly, the timing of this machine was divided into 4 periods: during days 1 to 30, it dispensed food 30g. During days 31 to 60, it dispensed food 45g. During days 61 to 90, it dispensed food 60g. During days 91 to 142, it dispensed food 75g. It would feed 2 times: 7 am. and 6 pm. each day. Thirdly, the test was to turn on and off the water and oxygen pumps by just clicking a button on the web application. The system was used to feed 80 3-inch long catfish over a period of 142 days. At the end of the period, 43 catfish were left with 37 having died. The survival rate was 54%. These fish weighed 5,380 grams in total and their growth varied. There were 24 small fish which weighed 120-220 gram (61%), 10 medium sized fish which weighed 230-330 (23%) and 7 large fish which weighed 340-440 (16%). As a result, this system could be used for feeding fish, but it needs some improvements such as the introduction of a waste water monitoring system and an automatic water changing system which would enhance the automatic working of the system.

scholarly journals Senior Living Space Architecture Design based on Iot Devices Using Vital Sensors

2018 ◽  
Vol 7 (3.33) ◽  
pp. 120
Author(s):  
Myung Jae Lim ◽  
Soh Yeon Park ◽  
Young Man Kwon ◽  
Dong Kun Chung ◽  
. .
Keyword(s):  
Internet Of Things ◽  
Elderly People ◽  
The Internet ◽  
Ageing Population ◽  
Humidity Sensors ◽  
Living Space ◽  
Living Lab ◽  
Iot Devices ◽  
Space Architecture ◽  
The Internet Of Things

This paper seeks to propose a senior living lab prototype based on the Internet of Things (IoT). Currently, IoT research is actively being conducted in various fields, and the field of IoT healthcare for elderly people is being highlighted with a rapid growth of ageing population. In this paper, a living lab platform was designed to recognize the movements of elderly people in real time and measure the quantity of motion by using Arduino's ultrasonic sensors and to help maintain a comfortable environment by using temperature & humidity sensors, which complemented the shortcomings of living lab based on the IoT healthcare. 

India’s Huawei Conundrum

2019 ◽  
Vol 75 (3) ◽  
pp. 380-394
Author(s):  
Uday Khanapurkar
Keyword(s):  
Artificial Intelligence ◽  
Wireless Networks ◽  
Internet Of Things ◽  
Conceptual Framework ◽  
The Internet ◽  
Economic Dependence ◽  
Security Risks ◽  
Course Of Action ◽  
The Internet Of Things ◽  
Telecom Infrastructure

Huawei, the Chinese telecom giant, has emerged as a key player in the provision of infrastructure required to support 5G wireless networks, the adoption of which will be foundational to recipient countries’ deployment of emerging technologies such as artificial intelligence and the Internet of things.   At the same time, however, security concerns with respect to Huawei’s ties to the Chinese army and state abound, prompting a number of countries to ban the company from supplying them said telecom infrastructure. India, however, is on the fence in this regard. This article assesses India’s Huawei conundrum through a conceptual framework of economic dependence wherein the costs of a ban and willingness to ban are examined in detail. It is argued that since the expected costs of banning Huawei equipment and the security risks of using them are both substantially high, India’s course of action must be to defer a quick decision and bargain for benefits and assurances.

scholarly journals An Implementation of IoT and Data Analytics in Smart Agricultural System – A Systematic Literature Review

2021 ◽  
pp. 41-70
Author(s):  
K. Vikranth ◽  
Krishna Prasad K.
Keyword(s):  
Data Mining ◽  
Internet Of Things ◽  
Data Analytics ◽  
Agricultural Land ◽  
Seed Quality ◽  
Farming System ◽  
The Internet ◽  
Smart Farming ◽  
Smart Agriculture ◽  
The Internet Of Things

India is a country that depends on agriculture, where about half the population relies heavily on agriculture for their livelihood. However, most of the practices undertaken in the agricultural process are not for profit and yield favorable. It should upgrade with current technologies to boost seed quality, check soil infertility, check the water level, environmental changes, and market price prediction, and achieve in agriculture sensitivity of faults and background understanding. The advancement in technology and developments is seen as a significant aspect in their financial development and agricultural production growth. The Internet of Things (IoT), Wireless Sensor Networks (WSN), and data analytics accomplish these upgrades. These technologies help in providing solutions to agricultural issues such as resource optimization, agricultural land monitoring, and decision-making support, awareness of the crop, land, weather, and market conditions for farmers. Smart agriculture is based on data from sensors, data from cloud platform storage and data from databases, all three concepts need to be implemented. The data are collected from different sensors and stored in a cloud-based back end support, which is then analyzed using proper analytics techniques, and then the relevant information is transferred to a user interface, which naturally supported the decision to conclude. The IoT applications mainly use sensors to monitor the situation, which collects a large size of data every time, so in the case of the Internet of Things (IoT) application, sensors contribute more. Data analytics requires data storage, data aggregation, data processing and data extraction. To retrieve data and information from database, we must use data mining techniques. It acts a significant position in the selection-making process on several agricultural issues. The eventual objective of data mining is to acquire information form data transform it for some advanced use into a unique human-comprehensible format. Big data's role in Agriculture affords prospect to increase the farmers' economic gain by undergoing a digital revolution in this aspect that we examine with precision. This paper includes reviewing a summary of some of the conference papers, journals, and books that have been going in favor of smart agriculture. The type of data required for smart farming system are analyzed and the architecture and schematic diagram of a proposed intelligent farming system are included. It also involves implementing different components of the smart farming system and integrating IoT and data analytics in the smart farming system. Based on the review, research gap, research agendas to carry out further research are identified.

scholarly journals A REVIEW ON CLOUD COMPUTING SERVICES AND CONVERGENCE AMONG CLOUD COMPUTING AND BIG DATA

2020 ◽  
Vol 6 (9) ◽  
pp. 84-91
Author(s):  
Krishna Chaitanya Sanagavarapu
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Farming System ◽  
Sensor Nodes ◽  
The Internet ◽  
Network Access ◽  
Configurable Computing ◽  
Set Up ◽  
Scalable Network ◽  
The Internet Of Things

Cloud Computing enables a practical, as needed and also scalable network access to a common swimming pool of configurable computing resources. This paper mainly focuses on a usual technique to integrate the Internet of Things (IoT) as well as Cloud Computer under the name of Cloud Things style. We evaluate the state-of-the-art for integrating Cloud Computer as well as the Internet of Things. The objective is to give a faster as well as easier platform for the customer to get information from an array of sensor nodes that has actually been set-up in a farming system.

scholarly journals Internet of Things for Water Quality Monitoring using Estimate Dissolved Oxygen and Free Ammonia

2021 ◽  
Author(s):  
Rheza Shandikri ◽  
Bayu Erfianto
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Dissolved Oxygen ◽  
Fish Farming ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
The Internet ◽  
Measuring Devices ◽  
Small Scales ◽  
The Internet Of Things

In fish farming or aquaponics, one of the problems that are often encountered is water quality. Several parameters that must be monitored are ammonia, temperature, pH, and dissolved oxygen. There are available measuring devices for oxygen and ammonia levels in the market, but the price of the tool is not suitable for small scales. This study uses the Emerson formula and the Benson-Krause formula to determine ammonia and dissolved oxygen value. In this study, the two values were measured using RMSE, MAE, and MAPE against NH3 and Dissolved Oxygen values from Seneye. The output of this research is the level of water quality using Fuzzy logic and implementing the Internet of things to minimize human intervention with objects

scholarly journals Mitigation Techniques for Agricultural Pollution by Precision Technologies with a Focus on the Internet of Things (IoTs): A Review

2020 ◽  
Vol 41 (03) ◽  
Author(s):  
A. Narmilan ◽  
N. Puvanitha
Keyword(s):  
Internet Of Things ◽  
Environmental Degradation ◽  
Precision Agriculture ◽  
Agricultural Practices ◽  
Farming System ◽  
Agricultural Pollution ◽  
The Internet ◽  
Agricultural Field ◽  
Mitigation Techniques ◽  
The Internet Of Things

The widespread of Information and Communication Technology (ICT) in the past decades brought numerous advantages to many individuals and most of the organizations everywhere in the world. In the 21st century, the most significant technology is the Internet of Things (IoTs) which has developed rapidly covering most of applications in the health, civil, military and agriculture sectors also. Precision Agriculture (PA), as the combination of information, communication and control technologies in agronomic practices, is emerging time by time. Also, precision agriculture is considered a smart farming system on the basis of modern technologies to regulate, examine and manage changes inside an agricultural field for cost-effectiveness, sustainability and optimal protection of environment. Meanwhile, agricultural practices are contributing to environmental pollution due to poor management which is further disturbing food security, health and climate. One of the best strategies to overcome this challenge can be introducing the deployment of precision technologies for the development of agricultural productivity while reducing the environmental degradation. Therefore, the key objective of this review was to discuss the mitigation techniques for agricultural pollution and enhance the agricultural production by smart technologies like IoTs. This paper summarizes the main categories of IoTs, Precision Agriculture, agricultural pollution and finally, mitigation practices on environmental degradation.

Multimedia system and database simulation based on internet of things and cloud service platform

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng
Keyword(s):  
Internet Of Things ◽  
Cloud Service ◽  
Multimedia System ◽  
The Internet ◽  
Multimedia Database ◽  
Cloud Platform ◽  
Service Platform ◽  
Device Management ◽  
Cloud Service Platform ◽  
The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

Review of the Current State and Future Development in Standardising Artificial Lighting

2019 ◽  
pp. 4-44 ◽  
Author(s):  
Peter Thorns
Keyword(s):  
Internet Of Things ◽  
Future Development ◽  
Best Practice ◽  
The Internet ◽  
Artificial Lighting ◽  
Current State ◽  
Internal Structures ◽  
European Regulations ◽  
The Internet Of Things

This paper discusses the organisations involved in the development of application standards, European regulations and best practice guides, their scope of work and internal structures. It considers their respective visions for the requirements for future standardisation work and considers in more detail those areas where these overlap, namely human centric or integrative lighting, connectivity and the Internet of Things, inclusivity and sustainability.

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