A Review on Current IoT-Based Pasture Management Systems and Applications of Digital Twins in Farming

Lemphane, Ntebaleng Junia; Kotze, Ben; Kuriakose, R. B.

doi:10.1007/978-981-16-4538-9_18

Cited by 6 publications

(2 citation statements)

References 18 publications

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“…Qualitative forecasting approaches must be employed if there are no data available or if the data provided are not relevant to the forecasts. ere are well-developed organised procedures for obtaining effective forecasts without using historical data, so these methods are not just guessing [35,36].…”

Section: Predictive Kalman Filtermentioning

confidence: 99%

Smart Farming System Based on Intelligent Internet of Things and Predictive Analytics

Ferehan

Haqiq

Ahmad

2022

Journal of Food Quality

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The Internet of Things (IoT) makes it conceivable to communicate among distinctive things. The use of IoT in the farming industry is critical for increasing utility. Smart agricultural practices may boost crop yield while also creating more output with the same amount of input. The majority of farmers, however, are still unaware of the most recent technologies and procedures. In this study, a revolutionary wireless mobile robot based on the Internet of Things (IoT) is created and installed to perform a variety of outdoor tasks. The benefits of this work include more accurate and efficient data, as well as a reduction in manpower. This research has applications in agriculture, arrival, and water division. Keen agrarian frameworks have been built up in different parts of the world utilising the Internet of Things (IoT) and remote sensor systems. One of the branches that springs to intellect in this respect is exactness cultivating. Numerous analysts have made checking and robotization frameworks for different cultivating capacities. Information collection and transmission between IoT gadgets set in ranches will be basic utilising WSN. The Kalman Filter (KF) is used with expectation investigation within the proposed method to get high-quality information free of commotion and exchange it with cluster-based WSNs. The quality of information utilised for examination is progressed as a result of this strategy, and information transport overhead within the wireless sensor network application is decreased. A decision tree is used for forecast analytics decision making for trim surrender expectation, trim classification, soil classification, climate expectation, and trim malady expectation. IoT components integrated with IoT cloud are coordinates in proposed framework to supply keen arrangement for edit development observing to clients.

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Section: Predictive Kalman Filtermentioning

confidence: 99%

Smart Farming System Based on Intelligent Internet of Things and Predictive Analytics

Ferehan

Haqiq

Ahmad

2022

Journal of Food Quality

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“…To the best of our knowledge, this article is the first to present a Digital Twin concept coupled with XR specifically for pharmaceutical cannabis production. While there are other works covering Digital Twins [9,10] or XR [11,12] solutions, none focus on cannabis production. Therefore, the purpose of this article is to overcome this situation by analysing how XR-based Digital Twins for pharmaceutical cannabis production can be designed and implemented.…”

Section: Introductionmentioning

confidence: 99%

Virtual Reality-Based Digital Twins: A Case Study on Pharmaceutical Cannabis

Spyrou,

Hurst,

Verdouw

2023

BDCC

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Digital Twins are digital equivalents of real-life objects. They allow producers to act immediately in case of (expected) deviations and to simulate effects of interventions based on real-life data. Digital Twin and eXtended Reality technologies (including Augmented Reality, Mixed Reality and Virtual Reality technologies), when coupled, are promising solutions to address the challenges of highly regulated crop production, namely the complexity of modern production environments for pharmaceutical cannabis, which are growing constantly as a result of legislative changes. Cannabis farms not only have to meet very high quality standards and regulatory requirements but also have to deal with high production and market uncertainties, including energy considerations. Thus, the main contributions of the research include an architecture design for eXtended-Reality-based Digital Twins for pharmaceutical cannabis production and a proof of concept, which was demonstrated at the Wageningen University Digital Twins conference. A convenience sampling method was used to recruit 30 participants who provided feedback on the application. The findings indicate that, despite 70% being unfamiliar with the concept, 80% of the participants were positive regarding the innovation and creativity.

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Designing an Experimental Setup for Incorporating Data Provenance into Blockchain Smart Contracts in a Smart Manufacturing Environment

Mokalusi,

Kuriakose,

Vermaak

2024

Advances in Science, Technology &Amp; Innovation

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A Review on Current IoT-Based Pasture Management Systems and Applications of Digital Twins in Farming

Cited by 6 publications

References 18 publications

Smart Farming System Based on Intelligent Internet of Things and Predictive Analytics

Smart Farming System Based on Intelligent Internet of Things and Predictive Analytics

Virtual Reality-Based Digital Twins: A Case Study on Pharmaceutical Cannabis

Designing an Experimental Setup for Incorporating Data Provenance into Blockchain Smart Contracts in a Smart Manufacturing Environment

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