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Proceedings ArticleDOI

Virtual Reality and Augmented reality applications in agriculture: a literature review

TLDR
The results show that digital agriculture is able to help users to increase productivity in a sustainable way.
Abstract
Virtual Reality (VR) and Augmented Reality (AR) based technologies can be applied in several areas, such as: science, services, education, medicine and military. On the other hand, agriculture is an area that has benefited from computer systems, with technological advances that have culminated in fields of study such as Agriculture 4.0, Digital Agriculture and Precision Agriculture, providing an increase in food production in a sustainable way. Thus, the agricultural area can be a target for professionals and researchers in VR and AR. In this article a literature review is presented with the objective of showing why VR and AR technologies are beneficial to the agricultural sector. The searches were conducted on Google Scholar, ACM Digital Library, Elsevier, IEEE Xplore, MDPI and Springer. After searching and selecting, twenty articles were analyzed. The review describes the main input and output devices used, the main crops, the objectives of the applications, the users, the countries where the studies were conducted. The results show that digital agriculture is able to help users to increase productivity in a sustainable way. The review identified trends, challenges and opportunities for improving these technologies applied to agriculture.

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Citations
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Journal ArticleDOI

Off-Road Electric Vehicles and Autonomous Robots in Agricultural Sector: Trends, Challenges, and Opportunities

TL;DR: In this paper , the development trends and prospects of green-energy-based off-road electric vehicles and robots in the agricultural sector are described, and related digital technologies such as advanced network communication, artificial intelligence techniques, and blockchain are discussed to understand the challenges and opportunities.
Journal ArticleDOI

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

TL;DR: In this paper, the authors evaluate how progressive stakeholders view the adoption of contemporary techniques such as virtual technology in driving sustainable quality in an emerging economy context and develop the theoretical framework for virtual reality (VR) technology adoption in sustaining quality in agriculture production.
Proceedings ArticleDOI

End-to-End Inflorescence Measurement for Supporting Table Grape Trimming with Augmented Reality

TL;DR: In this paper, an end-to-end approach for estimating the length of the remaining inflorescence with the screw of the scissors loop as the calibrator is proposed, and the estimated length is visualized on the head-mounted display to support the farmer in performing the trimming correctly and efficiently.
Book ChapterDOI

Computer Vision and Machine Learning in Agriculture

TL;DR: In this article, computer vision and machine learning have been integrated into the precision agriculture process for the purpose of improving the productivity and efficiency of a traditional agriculture crop production cycle, which can be improved by combining the power of visualizing the real world with intelligent techniques.
Journal ArticleDOI

Virtual Reality Solutions Employing Artificial Intelligence Methods: A Systematic Literature Review

TL;DR: It was showed that the combination of AI and VR contributes to new trends, opportunities, and applications for human-machine interactive devices, education, agriculture, transport, 3D image reconstruction, and health.
References
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Journal ArticleDOI

The Association for Computing Machinery

TL;DR: As the Association for Computing Machinery enters a new phase of its existence, it seems befitting to review the conditions in the computing field just prior to its organization and the events of the past six years of its life.
Journal ArticleDOI

A conceptual framework for guiding the participatory development of agricultural decision support systems

TL;DR: In this paper, the authors developed a framework based on three concepts drawn from the field of science and technology studies: technological frames, interpretative flexibility and boundary objects, which highlights the importance and value of social learning for participatory DSS development.
Journal ArticleDOI

Adoption of precision agriculture technologies by German crop farmers

TL;DR: In this article, a wide range of farm characteristics and farmer demographics are tested to gain insight into the relevant aspects of adoption of precision farming in German crop farming. And the results of a logistic regression analysis show that predictors with positive influence on the adoption of pre-cision farming are agricultural contractor services such as an additional farming business, having under 5 years' experience in crop farming, having between 16 and 20-years' experience and having more than 500ha of arable land.
Journal ArticleDOI

Soil sampling with drones and augmented reality in precision agriculture

TL;DR: A novel approach to automatically determine the locations for soil samples based on a soil map created from drone imaging after ploughing, and a wearable augmented reality technology to guide the user to the generated sample points is presented.
Journal ArticleDOI

Stereo vision three-dimensional terrain maps for precision agriculture

TL;DR: A method to create 3D terrain maps by combining the information captured with a stereo camera, a localization sensor, and an inertial measurement unit installed on a mobile equipment platform is proposed.
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