scholarly journals Smart Farming through Responsible Leadership in Bangladesh: Possibilities, Opportunities, and Beyond

2021 ◽  
Vol 13 (8) ◽  
pp. 4511
Author(s):  
Amlan Haque ◽  
Nahina Islam ◽  
Nahidul Hoque Samrat ◽  
Shuvashis Dey ◽  
Biplob Ray
Keyword(s):  
Empirical Studies ◽  
Farming System ◽  
The Internet ◽  
Responsible Leadership ◽  
Traditional Farming ◽  
Agriculture Sector ◽  
Comprehensive Literature Review ◽  
Smart Farming ◽  
The Internet Of Things

Smart farming has the potential to overcome the challenge of 2050 to feed 10 billion people. Both artificial intelligence (AI) and the internet of things (IoT) have become critical prerequisites to smart farming due to their high interoperability, sensors, and cutting-edge technologies. Extending the role of responsible leadership, this paper proposes an AI and IoT based smart farming system in Bangladesh. With a comprehensive literature review, this paper counsels the need to go beyond the simple application of traditional farming and irrigation practices and recommends implementing smart farming enabling responsible leadership to uphold sustainable agriculture. It contributes to the current literature of smart farming in several ways. First, this paper helps to understand the prospect and challenges of both AI and IoT and the requirement of smart farming in a nonwestern context. Second, it clarifies the interventions of responsible leadership into Bangladesh’s agriculture sector and justifies the demand for sustainable smart farming. Third, this paper is a step forward to explore future empirical studies for the effective and efficient use of AI and IoT to adopt smart farming. Finally, this paper will help policymakers to take responsible initiatives to plan and apply smart farming in a developing economy like Bangladesh.

IoT-Based Precision Agriculture System

2020 ◽  
pp. 1-7
Author(s):  
Sarita Tripathy ◽  
Shaswati Patra
Keyword(s):  
Internet Of Things ◽  
Precision Agriculture ◽  
Modern Method ◽  
The Internet ◽  
Huge Number ◽  
Traditional Farming ◽  
Smart Farming ◽  
Different Types ◽  
Farm Vehicles ◽  
The Internet Of Things

The huge number of items associated with web is known as the internet of things. It is associated with worldwide data consisting of various components and different types of gadgets, sensors, and software, and a large variety of other instruments. A large number of applications that are required in the field of agriculture should implement methods that should be realistic and reliable. Precision agriculture practices in farming are more efficient than traditional farming techniques. Precision farming simultaneously analyzes data along with generating it by the use of sensors. The application areas include tracking of farm vehicles, monitoring of the livestock, observation of field, and monitoring of storage. This type of system is already being accepted and adopted in many countries. The modern method of smart farming has started utilizing the IoT for better and faster yield of crops. This chapter gives a review of the various IoT techniques used in smart farming.

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 Development of Raspberry-Pi Based IoT Agricultural System using Fuzzy Techniques

2020 ◽  
Vol 10 (1) ◽  
pp. 31-39
Keyword(s):  
National Development ◽  
Raspberry Pi ◽  
The Internet ◽  
Agricultural System ◽  
Traditional Farming ◽  
Crop Development ◽  
Smart Farming ◽  
Different Types ◽  
Fuzzy Techniques ◽  
The Internet Of Things

In India, agriculture plays an important role in national development. Agricultural problems have always hindered the country's development. The only solution to this is smart farming by modernizing traditional farming methods today. The Internet of Things (IOT) allows a variety of applications such as monitoring and selecting crop development, supporting irrigation decisions, etc. The result of this work is the monitoring of soil moisture, temperature, humidity, pH, reproduction and water level . Field Using a sensor network that collects data from different types of sensors and then sends it to the main server using Raspberry pi, it uses vague logic in real time to make decisions based on the decisions made by the system.

Smart-Farming Using Internet of Things

2020 ◽  
Vol 17 (1) ◽  
pp. 172-176
Author(s):  
Shivam Kumar Verma ◽  
M. Rajesh ◽  
Rajiv Vincent
Keyword(s):  
Internet Of Things ◽  
Crop Production ◽  
The Internet ◽  
Graphical Interface ◽  
Android Application ◽  
Infrared Sensor ◽  
Agriculture Sector ◽  
Iot Platform ◽  
Smart Farming ◽  
The Internet Of Things

In India, 47% of people are involved in the agriculture sector. A large part of the population of India depends upon the agriculture. In this work, we assemble a smart farming field screening system that helps farmers to take information about their field in the sense soil moisture, humidity and temperature of the environment. And it allows smart irrigation to the field and gives a better result for doing agriculture and provide better profit for good crop production. In our work, we can use a different type of sensors and some wireless technologies like the Internet of things (IoT) and an android application to provide a smart platform to farmers to read data from the sensors with the help of microcontroller and giving instructions in term of the graphical interface. Hence, we can use an IoT platform that gives the primary thing to access anywhere by using the internet. The Wireless sensor network consists of sensors like moisture, humidity and temperature, and Infrared sensor. Using Bluetooth and GSM module for the clustering with sensors and other microcontroller devices are connected to the solar panel or battery for the power supply. In this paper, we design an IoT platform for doing farming in an efficient way. That helps the farmers for real-time monitoring regarding their fields.

Internet of Things as Engine of Economic Growth in Indonesia

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Bambang Widagdo ◽  
Mochamad Rofik
Keyword(s):  
Economic Growth ◽  
Internet Of Things ◽  
Industrial Revolution ◽  
The Internet ◽  
Economic Diversification ◽  
Great Opportunity ◽  
Economic Basis ◽  
Network Quality ◽  
The Internet Of Things

The economic diversification concept gives hope for a country with rich natural resources to strengthen its economic basis. Thus industrial revolution era of 4.0 provides great opportunity to fasten the process. A study by McKensey in 2011 proved that the internet in the developing country contributes around 3.4% towards its GDP which means that the internet has become a new hope for the economy in the future. Indonesia is one of the countries that is attempting to maximize the role of the Internet of Things (IoT) for its economic growth.� The attempt has made the retail and tourism industries as the two main sectors to experience the significant effect of IoT. In the process of optimizing the IoT to support the economic growth, Indonesia faces several issues especially in the term of the internet network quality and its distribution, the inclusive access of financial access and the infrastructure

The Role of the Internet of Things in Health Care: A Systematic and Comprehensive Study

2020 ◽  
Author(s):  
Navod Neranjan Thilakarathne ◽  
Mohan Krishna Kagita ◽  
Thippa Reddy Gadekallu
Keyword(s):  
Health Care ◽  
Internet Of Things ◽  
The Internet ◽  
The Internet Of Things ◽  
Comprehensive Study

The Future of Human Workers

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Mental Capacity ◽  
Machine Intelligence ◽  
The Internet ◽  
Traditional Model ◽  
Global Workforce ◽  
Repetitive Tasks ◽  
The Internet Of Things

New technologies like artificial intelligence, robotics, machine intelligence, and the Internet of Things are seeing repetitive tasks move away from humans to machines. Humans cannot become machines, but machines can become more human-like. The traditional model of educating workers for the workforce is fast becoming irrelevant. There is a massive need for the retooling of human workers. Humans need to be trained to remain focused in a society which is constantly getting bombarded with information. The two basic elements of physical and mental capacity are slowly being taken over by machines and artificial intelligence. This changes the fundamental role of the global workforce.

scholarly journals Tangibly understanding intangible complexities: Designing for distributed autonomous organizations

2019 ◽  
Vol 6 (1) ◽  
pp. 47-63 ◽  
Author(s):  
Bettina Nissen ◽  
Ella Tallyn ◽  
Kate Symons
Keyword(s):  
Distributed Systems ◽  
Interaction Design ◽  
Digital Technologies ◽  
Interactive Systems ◽  
Collaborative Practice ◽  
The Internet ◽  
The Face ◽  
Future Technologies ◽  
The Internet Of Things

Abstract New digital technologies such as Blockchain and smart contracting are rapidly changing the face of value exchange, and present new opportunities and challenges for designers. Designers and data specialists are at the forefront of exploring new ways of exchanging value, using Blockchain, cryptocurrencies, smart contracting and the direct exchanges between things made possible by the Internet of Things (Tallyn et al. 2018; Pschetz et al. 2019). For researchers and designers in areas of Human Computer Interaction (HCI) and Interaction Design to better understand and explore the implications of these emerging and future technologies as Distributed Autonomous Organisations (DAOs) we delivered a workshop at the ACM conference Designing Interactive Systems (DIS) in Edinburgh in 2017 (Nissen et al. 2017). The workshop aimed to use the lens of DAOs to introduce the principle that products and services may soon be owned and managed collectively and not by one person or authority, thus challenging traditional concepts of ownership and power. This workshop builds on established HCI research exploring the role of technology in financial interactions and designing for the rapidly changing world of technology and value exchange (Kaye et al. 2014; Malmborg et al. 2015; Millen et al. 2015; Vines et al. 2014). Beyond this, the HCI community has started to explore these technologies beyond issues of finance, money and collaborative practice, focusing on the implications of these emerging but rapidly ascending distributed systems in more applied contexts (Elsden et al. 2018a). By bringing together designers and researchers with different experiences and knowledge of distributed systems, the aim of this workshop was two-fold. First, to further understand, develop and critique these new forms of distributed power and ownership and second, to practically explore how to design interactive products and services that enable, challenge or disrupt existing and emerging models.

scholarly journals Modelling Uptake Sensitivities of Connected and Automated Vehicle Technologies

2021 ◽  
Vol 10 (2) ◽  
pp. 88-106
Author(s):  
Gillian Harrison ◽  
Simon P. Shepherd ◽  
Haibo Chen
Keyword(s):  
Internet Of Things ◽  
Dynamic Modelling ◽  
Transport Systems ◽  
The Internet ◽  
Sensitivity Testing ◽  
Automated Vehicle ◽  
Vehicle Technologies ◽  
The Internet Of Things

Connected and automated vehicle (CAV) technologies and services are rapidly developing and have the potential to revolutionise the transport systems. However, like many innovations, the uptake pathways are uncertain. The focus of this article is on improving understanding of factors that may affect the uptake of highly and fully automated vehicles, with a particular interest in the role of the internet of things (IoT). Using system dynamic modelling, sensitivity testing towards vehicle attributes (e.g., comfort, safety, familiarity) is carried out and scenarios were developed to explore how CAV uptake can vary under different conditions based around the quality of IoT provision. Utility and poor IoT are found to have the biggest influence. Attention is then given to CAV ‘services' that are characterized by the attributes explored earlier in the paper, and it is found that they could contribute to a 20% increase in market share.

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