Enhanced Secure Process Control and Data Routing for Multi-plant Biogas Production System in IoT Environment: A Practical Approach to Securing Smart Bio-energy Infrastructure

Olakanmi, Oladayo Olufemi; Nnoli, Kosisochukwu Pal; Odeyemi, Kehinde O.; Benyeogor, Mbadiwe Samuel

doi:10.1109/isncc52172.2021.9615644

Cited by 8 publications

(5 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Risk: Farmers may be hesitant to share data if they fear the exposure of competitive advantages or if they perceive a lack of control over how their data is used [142].…”

Section: Data Sharing and Aggregationmentioning

confidence: 99%

A comprehensive examination of security and privacy in precision agriculture technologies

Pauline A. Ongadi

2024

GSC Adv. Res. Rev.

View full text Add to dashboard Cite

Precision agriculture has revolutionized modern farming practices by integrating cutting-edge technologies such as sensors, drones, and data analytics to optimize crop management. While these advancements offer unprecedented benefits in terms of yield optimization and resource efficiency, they also raise significant concerns regarding the security and privacy of sensitive agricultural data. This research paper delves into the intricate landscape of precision agriculture security and privacy, aiming to identify potential threats, vulnerabilities, and the corresponding measures necessary for safeguarding farmers' data and ensuring the sustainability of precision farming practices. The study employs a multidisciplinary approach, combining insights from computer science, agriculture, and privacy studies to provide a comprehensive overview. Through an analysis of existing security frameworks and privacy regulations, this paper proposes recommendations for the development and implementation of robust security protocols and privacy-enhancing technologies tailored to the unique challenges of precision agriculture. The findings of this research contribute to the ongoing dialogue on responsible technology adoption in agriculture, emphasizing the importance of striking a balance between innovation and the protection of farmers' sensitive information in the era of precision farming.

show abstract

“…Risk: Farmers may be hesitant to share data if they fear the exposure of competitive advantages or if they perceive a lack of control over how their data is used [142].…”

Section: Data Sharing and Aggregationmentioning

confidence: 99%

A comprehensive examination of security and privacy in precision agriculture technologies

Pauline A. Ongadi

2024

GSC Adv. Res. Rev.

View full text Add to dashboard Cite

show abstract

“…For instance, O.O. Olakanmi et al (2021) discusses a smart biogas unit that includes a controlled biophysical system that uses both thermofluidic devices and IoT devices to acquire data and control electromechanical subsystems. However, the above study does not include systems for monitoring the condition of biomass undergoing preparation before being loaded into a biogas unit.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2023

machinery

View full text Add to dashboard Cite

The relevance of developing analytical methods for studying the stability of root crop cleaners on tractors is determined by the need to improve the efficiency and quality of root crop head cleaning, as this affects the quality of the final product and its marketable properties. The research aims to increase the stability of the cleaner movement by constructing a mathematical model of its oscillatory motion in the longitudinal-vertical plane and its numerical solution to determine the influence of parameters in response to external disturbances. To achieve this goal, a new theory of the movement of a root crop head cleaner in the longitudinal-vertical plane, mounted behind a wheeled tractor, under the influence of the disturbing effect of irregularities in the longitudinal profile of the soil surface on the amplitude and phase frequency characteristics of its angular oscillations was developed. Using numerical calculations carried out on a personal computer, the conditions were found under which the stability of the cleaner's movement in the specified plane will increase when the stiffness coefficient of the pneumatic tyres of the doubler wheels is 315 kN•m -1 .• This result is achieved when the pressure in the pneumatic wheel tyres is 135 kPa. As for the damping characteristics of the doubler wheel tyres, which are determined by the coefficient μ, it was found that when it changes from 350 N•s•m -1 to 1350 N•s•m -1 , there is an invariance of the delay in the reaction of the cleaner to the disturbing effect when its frequencies change from 0 to 24 s -1 . It was also found that the influence of the geometric dimensions of the cleaner is insignificant in the range of frequencies of oscillations of the ordinates of the longitudinal profile of soil surface irregularities from 0 to 24 s -1 . This follows from the nature of changes in the obtained amplitude-frequency and phase-frequency characteristics. The methodology for constructing a mathematical model of the plane-parallel oscillatory motion of the cleaner can be used in similar analytical studies of other agricultural machines mounted on a wheeled aggregating tractor

show abstract

Section: Introductionmentioning

confidence: 99%

Mobile system for monitoring plant environment parameters for biogas production

Lysenko,

Lendiel,

Bolbot

et al. 2023

Tehnìka ta energetika

View full text Add to dashboard Cite

The main sources of biomass for biogas units can be organic waste, grain, hay, manure, various plant materials, etc. Anaerobic digestion, which consists of a series of complex biological reactions, is a challenging process that requires detailed parameter control to prevent possible losses and to make best use of the material. Therefore, the purpose of this study was to consider the possibility of developing a mobile unit for monitoring the parameters of the plant environment during biogas production with the possibility of storing data and using them in the construction of a mathematical model for predicting gas yield. The algorithm was created based on the principles of fuzzy logic and the structure of neural networks. The architecture of a mobile system for monitoring plant environment parameters for biogas production was proposed. The developed circuit diagram of such a system was presented. The system’s operation was presented in the form of a created algorithm for searching and identifying connected devices on the 1-Wire bus. This bus is used to poll sensors and measure process parameters. Software was developed for interfacing several types of sensors, transferring and saving data to the cloud storage with the subsequent possibility of processing it. The biomass can be photographed using the built-in camera. Using the principle of Internet of Things technology, remote access to measured data is provided. The measured process parameters and photos are transferred to the control system server for further analysis, which will allow for a more accurate assessment of the biomass preparation process for fermentation. The obtained results allow improving the control and decision support systems for biomass loading into a biogas unit

show abstract

Enhanced Secure Process Control and Data Routing for Multi-plant Biogas Production System in IoT Environment: A Practical Approach to Securing Smart Bio-energy Infrastructure

Cited by 8 publications

References 8 publications

A comprehensive examination of security and privacy in precision agriculture technologies

A comprehensive examination of security and privacy in precision agriculture technologies

Untitled

Mobile system for monitoring plant environment parameters for biogas production

Contact Info

Product

Resources

About