Precision Agriculture Using Advanced Technology of IoT, Unmanned Aerial Vehicle, Augmented Reality, and Machine Learning

Ponnusamy, Vijayakumar; Natarajan, Sowmya

doi:10.1007/978-3-030-52624-5_14

Cited by 42 publications

(20 citation statements)

References 26 publications

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“…For example, without GPS to facilitate location tracking [15], it would not be possible to create a marker-less AR approach. Similarly, without the combination of more than one coupled technology, higher location accuracy might be unattainable impacting the success of [10,12,14,16,26]. As further evidence, without the combination of different technologies higher location accuracy would not be possible to achieve, which in turn would result in applications not being able to fulfil the demands of a precision farming application.…”

Section: Ar Types and Coupled Technologiesmentioning

confidence: 99%

“…It is clear that AR is displaying potential for the enrichment of both the crop and livestock management processes within a precision farming setting [10]. However, even though many works specify the benefits AR offers within agriculture [11,[14][15][16], it must be emphasised that the advantages of AR for precision farming are reliant on a symbiotic relationship with other core smart city-based technologies, such as machine learning or GPS integration, to provide a cite-specific management service. As evidence, consideration is drawn from the aforementioned approach by Huuskonen et al, where the benefits of AR for use in soil sampling are only made possible by coupling the technology with Internet of Things (IoT) data [11].…”

Section: Introductionmentioning

confidence: 99%

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Augmented Reality in Precision Farming: Concepts and Applications

2021

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The amount of arable land is limited, yet the demand for agricultural food products is increasing. This issue has led to the notion of precision farming, where smart city-based technologies (e.g., Internet of Things, digital twins, artificial intelligence) are employed in combination to cater for increased production with fewer resources. Widely used in manufacturing, augmented reality has demonstrated impactful solutions for information communication, remote monitoring and increased interaction. Yet, the technology has only recently begun to find a footing alongside precision farming solutions, despite the many benefits possible to farmers through augmenting the physical world with digital objects. Therefore, this article reflects on literature discussing current applied solutions within agriculture, where augmented realty has demonstrated a significant impact for monitoring and production. The findings discuss that augmented reality must be coupled with other technologies (e.g., simultaneous localization and mapping algorithms, global positioning systems, and sensors), specifically 9 are identified across 2 application domains (livestock and crop farming) to be beneficial. Attention is also provided on how augmented reality should be employed within agriculture, where related-work examples are drawn from in order to discuss suitable hardware approaches and constraints (e.g., mobility).

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Section: Ar Types and Coupled Technologiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Augmented Reality in Precision Farming: Concepts and Applications

2021

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“…Besides, the formation of soil enrichment particles called vermiculite resulting from the union of nearby soil leads to the gain in the crop produce and efficient water system, Israel has progressed towards sustaining agriculture through progressive farming (Tepper et al , 2020). These countries deploy modern technologies such as the internet of Things (IoT) that allow farmers to track and optimize the data points for efficient agriculture production (Ponnusamy and Natarajan, 2021). Robotics, drones, and artificial intelligence help to increase the quantity and quality of production (Talaviya et al , 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Future perspectives on progressive farming with adoption of virtual reality technology for sustainable quality in agriculture

Kumari

Raghuram

Venkatesh

et al. 2021

TQM

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PurposeThe paper aims to evaluate how progressive stakeholders view the adoption of contemporary techniques such as virtual technology in driving sustainable quality in an emerging economy context.Design/methodology/approachThe authors adopted a systematic literature review to develop the theoretical framework for virtual reality (VR) technology adoption in sustaining quality in agriculture production. The framework was refined after discussion with a panel of academic experts. The refined theoretical framework was further empirically validated using Partial Least Square Structure Equation Modelling.FindingsThe study focuses on the future perspective of the perception for progressive farming with the adoption of VR technology in an emerging economy. The data were collected from the stakeholders (farmers, collectives, cooperative, etc.), for their future perspectives for the adoption of VR technology and sustainable quality agriculture production. The study may help build up VR technology in emerging economies which may take years to be established.Research limitations/implicationsThe perception of the future perspective of VR technology study conducted has limitations. The findings are well established on technology adoption; however, the technology used will take many extra years to find its application in the agriculture sector. The study offers insightful theoretical, managerial and policy implications for sustainable quality in agriculture production through the adoption of virtual reality (VR) technology. The authors found very few works that focused on VR technology adoption.Originality/valueThe study discusses VR, which has an impact on sustaining the quality of agriculture production. The study has notable managerial and policy implications that suggest the future perspective for VR technology in agriculture production. The study is an unexplored area that needs research to capture future perspectives.

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“…They also introduced a rich survey of the main characteristics of drones and their usages in the entertainment field. Ponnusamy & Natarajan (Ponnusamy & Natarajan, 2021) introduced a chapter that concentrates on the illustration and utilization of unmanned aerial vehicles (UAV), augmented reality (AR) technologies for Precision agriculture (PA), and smart farming.…”

Section: Introductionmentioning

confidence: 99%

Using Augmented Reality and Drones in Tandem to Serve Smart Cities

Al-Bahri

Kishri²,

Dharamshi³

2021

airdj

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Augmented Reality Technologies as such have been known since the first decade of the 21st century. However, due to the relatively high costs of terminal equipment, the lack of mass demand in industries, their unpreparedness to implement augmented reality in production processes, the limited use of augmented reality in the educational process, etc., this technology did not become networked. In the broadest sense of this word, the traffic generated by augmented reality significantly affects both the principles of network construction and its planning. The article is devoted to studying the interaction of augmented reality applications and control methods for Unmanned Aerial Vehicles. The study was carried out experimentally using the developed experimental stand. During the experiment, an augmented reality application was used to control the UAV. The assessments of the quality of service of the network and subjective evaluations of the quality of perception were obtained. The Hurst parameter was used to determine the relationship between the quality of communication network service and the quality of perception. The parameters of the communication network maintenance are determined to ensure the specified rate of perception when controlling the UAV using the augmented reality application.

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Precision Agriculture Using Advanced Technology of IoT, Unmanned Aerial Vehicle, Augmented Reality, and Machine Learning

Cited by 42 publications

References 26 publications

Augmented Reality in Precision Farming: Concepts and Applications

Augmented Reality in Precision Farming: Concepts and Applications

Future perspectives on progressive farming with adoption of virtual reality technology for sustainable quality in agriculture

Using Augmented Reality and Drones in Tandem to Serve Smart Cities

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