scholarly journals Intellectual Property Theft Protection in IoT Based Precision Agriculture Using SDN

Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 1987
Author(s):  
Md. Selim Hossain ◽  
Md. Habibur Rahman ◽  
Md. Sazzadur Rahman ◽  
A. S. M. Sanwar Hosen ◽  
Changho Seo ◽  
...  

In this work, we examine the privacy and safety issues of Internet of Things (IoT)-based Precision Agriculture (PA), which could lead to the problem that industry is currently experiencing as a result of Intellectual Property Theft (IPT). Increasing IoT-based information flow in PA will make a system less secure if a proper security mechanism is not ensured. Shortly, IoT will transform everyday lives with its applications. Intellectual Property (IP) is another important concept of an intelligent farming system. If the IP of a wise farming system leaks, it damages all intellectual ideas like cultivation patterns, plant variety rights, and IoT generated information of IoT-based PA. Thus, we proposed an IoT enabled SDN gateway regulatory system that ensures control of a foreign device without having access to sensitive farm information. Most of the farm uses its devices without the use of its integrated management and memory unit. An SDN-based structure to solve IP theft in precision farming has been proposed. In our proposed concept, a control system integrates with the cloud server, which is called the control hub. This hub will carry out the overall PA monitoring system. By hiring the farm devices in the agricultural system, these devices must be tailored according to our systems. Therefore, our proposed PA is a management system for all controllable inputs. The overall goal is to increase the probability of profit and reduce the likelihood of IPT. It does not only give more information but also improves information securely by enhancing the overall performance of PA. Our proposed PA architecture has been measured based on the throughput, round trip time, jitter, packet error rate, and the cumulative distribution function. Our achieved results reduced around (1.66–6.46)% compared to the previous research. In the future, blockchain will be integrated with this proposed architecture for further implementation.

Author(s):  
Naomi Lesbatta ◽  
Widhi Handayani ◽  
Pamerdi Giri Wiloso

Buru Regency is one of the rice suppliers in Maluku Province.The achievements of Buru Regency as Maluku rice supplier cannot be separated from its history as a place for people who were exiled in 1969. The presence of these former people has an influence on social change in Buru Island. Located in Waeapo district, Buru regency, this qualitative research was conducted to explain social change in Waeapo, Buru by the former exiles. The results showed that before the former exiles arrived at Buru Island, the Waeapo was dominated by forests, where the local people practiced swidden agriculture. The presence of former exiles in 1969 changed the landscape of Buru from forest to paddyfields by means of forced labor. The forced labor and introduction of new agricultural system are patterns inherited from the colonial government. Nevertheless, in Buru, the harvest was consumed by the exiles instead of handed over to the government as a custom enforced by the colonials. The change in land use eventually changed the shifting cultivation system to permanent agriculture with the lowland rice farming system which is commonly practiced in Java. Ex-exiles were the people used by the New Order government to carry out development in remote areas in the 1969-1979 era until the change of Buru’s landscape, source of staple food, and cultural diversity exist in Waeapo..


Author(s):  
Thomas Koutsos ◽  
Georgios Menexes

Precision agriculture (PA) as an integrated information- and production-based farming system is designed to delivery high-end technology solutions to increase farm production efficiency and profitability while minimizing environmental impacts on the ecosystems and the environment. PA technologies are technology innovations that incorporate recent advances in modern agriculture providing evidence for lower production costs, increased farming efficiency and reduced impacts. However, the adoption of the precision agriculture technologies has encountered difficulties such as additional application or management costs and investment on new equipment and trained employees. Some of these PA technologies were proven efficient, providing tangible benefits with lower costs and as a result they quickly gained scientific interest. To investigate further the economic, agronomic, and environmental benefits from the adoption of PA technologies a systematic review was conducted, based on the systematic search and evaluation of related eligible articles.


2004 ◽  
Vol 44 (12) ◽  
pp. 1195 ◽  
Author(s):  
M. Monjardino ◽  
D. J. Pannell ◽  
S. B. Powles

Most cropping farms in Western Australia must deal with the management of herbicide-resistant populations of weeds such as annual ryegrass (Lolium rigidum) and wild radish (Raphanus raphanistrum). Farmers are approaching the problem of herbicide resistance by adopting integrated weed management systems, which allow weed control with a range of different techniques. These systems include non-herbicide methods ranging from delayed seeding and high crop seeding rates to the use of non-cropping phases in the rotation. In this paper, the Multi-species RIM (resistance and integrated management) model was used to investigate the value of including non-cropping phases in the crop rotation. Non-crop options investigated here were haying and green manuring. Despite them providing excellent weed control, it was found that inclusion of these non-cropping phases did not increase returns, except in cases of extreme weed numbers and high levels of herbicide resistance.


Author(s):  
Andrea Schoepfer

Studies of white-collar crime have largely focused on the crimes and immoral and unethical actions of adults during the course of their legitimate occupations, yet adults are not the only offenders, and white-collar crimes don’t always require employment. By narrowing the focus to who can offend, we may miss out on a fuller understanding of the phenomenon. The specific category of “white-collar delinquency” has been proposed to address this gap in the research. The original conceptualization of white-collar delinquency focused on crimes of juveniles that are of major financial and social consequence. The concept largely focuses on computer crimes, fraud, and crimes of skill, including piracy, securities fraud, espionage, denial of service attacks, hacking, identity fraud, dissemination of worms and viruses, and other crimes that can result in serious economic harm. Just as juveniles engage in conventional street crime offenses as do adult offenders, they also possess the ability to engage in white-collar offenses as do adult offenders, and there is a need to study the two age groups separately, as motivations, influences, and opportunities may differ. The literature thus far has largely ignored juvenile involvement in white-collar crimes due to the nature of the phenomenon, the reliance on offender-based definitions, and the presumption of opportunities to engage in the actions. Some white-collar offenses that were historically committed exclusively by adults have a place in the juvenile community as well. This “migration” has taken place for a number of reasons, with the majority of them closely tied to the nearly limitless access juveniles currently have to technology. Due to the overwhelming popularity of personal computers in homes and marked advancements in technology, opportunities for hybrid white-collar crimes (e.g., credit card fraud, identity theft, hacking, phishing, general fraud, intellectual property theft, financial/bank fraud) have dramatically increased, yet criminological studies focusing on technology related crimes have, until recently, been relatively sparse, and studies of fraud have predominately focused on characteristics of the victims as opposed to the offenders. As access to computers and the internet grow, so too do opportunities to engage in these types of crimes. Juveniles are able to interact with others from the privacy of their own homes with the benefit of complete anonymity. This anonymity may contribute to the appeal of computer-related delinquency, as such acts involve almost no confrontation and no violence, and are individualistic in nature. These individualistic crimes may attract those who would normally avoid more conventional crimes that involve confrontation. Technology has opened the door for a new type of offender and new types of offending. Although it is difficult to identify an exact dollar amount, financial losses from serious computer crimes such as audio, video, and software piracy; security breaches; and intellectual property theft are likely to exceed the financial losses from conventional crimes, and it is therefore imperative that more attention be given to these types of crimes and perpetrators. Theoretical explanations for this new category of crime have not yet been fully explored for many reasons. First, technology advances much faster than the laws regulating behavior. Second, apprehension and prosecution for crimes of technology are relatively low, and thus little data exists for theory testing with these crimes and offenders. Finally, computer and technology crimes fall into a gray area; they are not necessarily either property crimes or traditional white-collar crimes. In criminology, computer crimes tend to fall into a “hybrid” or “other” category of white-collar crime and as such are often ignored in studies on white-collar crime. Furthermore, juveniles are often overlooked in white-collar crime research due to their status and limited access to opportunity. By proposing the term “white-collar delinquency,” researchers hope to bring more focus to the understudied topic of juveniles engaging in crimes of serious economic consequence.


Author(s):  
Richard Lyman Bushman

The book argues that all eighteenth-century farmers sought first and foremost to provide basic subsistence for their families. The first aim of all farmers was self-provisioning. Even large planters who exported tobacco or wheat and purchased luxuries sought to provision themselves with their own labor on their own land. All farmers also engaged in trade to obtain what they could not make for themselves. They were subsistence and market farmers at the same time. Besides providing for themselves year by year, farmers hoped to set up their children on farms. With older children coming into the workforce, farmers could acquire enough to provide for those children as they left the family. Tragically, family farming with its assurance of security required ever more land, resulting in the relentless expulsion of Native Americans from their possessions. Within this basic North American farming system, agricultural regimens differed greatly from section to section. Slavery prevailed from Georgia to Maryland because warm winters allowed farmers to use their work force all year around, justifying the cost of slaves. From Pennsylvania northward, farmers relied on family or on cottagers who could be dismissed in winter.The cultural and political division between North and South corresponded to the contours of the climate-based growing season. This agricultural system changed little until after 1800, when the growing urban populations motivated farmers to develop new and more profitable crops. Farmers benefited from expanding markets which enabled them to purchase the goods necessary to achieve middle-class respectability. Although gradually eroded, self-provisioning persisted until after World War II, when it was largely abandoned.


Fig plants are gaining popularity among farmers across Malaysia, mainly influenced by the high demands for fresh fig fruits and a fairly higher market price for the fruit. Current practices in farm fields are still based on observation and scheduling approach without any quantitative approaches which provide a precise way of determining the crucial elements such as irrigation and fertilization needs. This paper explains the design and development of smart farming system with sensing technology deployment for precision agriculture and the Internet of Things (IoT) approach to get farmers connected to their farm. Raspberry Pi 3 Model B acts as a brain of the entire system, delivering its functionality in performing monitoring and controlling tasks. Database is implemented by using ThingSpeak IoT cloud platform while for mobile application, this project is using Swift 4 programming language within Xcode IDE in implementing the iOS user interface features. The evaluation and validation result shows the microcontrollers and all embedded sensors associated to them are successfully executing their tasks in performing the surrounding humidity, irrigation and fertilization control duties. The developed system also capable in tracing the surrounding temperature and humidity, soil humidity and pH, and fertilizer EC value changes. Assistance in mobile device application implementation and ThingSpeak cloud database deployment in this project also get the farmers connected to their farm. Although this project has been completed successfully, however there are several areas which can be further improved in order to make the entire system more efficient and useful to the user.


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