Soil sampling with drones and augmented reality in precision agriculture

Huuskonen, Janna; Oksanen, Timo

doi:10.1016/j.compag.2018.08.039

Cited by 185 publications

(86 citation statements)

References 15 publications

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“…In addition to the common applications mentioned above, UAVs have also been used for soil analysis [108,112], cotton genotype selection [48], mammal detection [24], and assessment of soil electrical conductivity [66].…”

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confidence: 99%

A Review on UAV-Based Applications for Precision Agriculture

2019

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Emerging technologies such as Internet of Things (IoT) can provide significant potential in Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time environmental data. IoT devices such as Unmanned Aerial Vehicles (UAVs) can be exploited in a variety of applications related to crops management, by capturing high spatial and temporal resolution images. These technologies are expected to revolutionize agriculture, enabling decision-making in days instead of weeks, promising significant reduction in cost and increase in the yield. Such decisions enable the effective application of farm inputs, supporting the four pillars of precision agriculture, i.e., apply the right practice, at the right place, at the right time and with the right quantity. However, the actual proliferation and exploitation of UAVs in Smart Farming has not been as robust as expected mainly due to the challenges confronted when selecting and deploying the relevant technologies, including the data acquisition and image processing methods. The main problem is that still there is no standardized workflow for the use of UAVs in such applications, as it is a relatively new area. In this article, we review the most recent applications of UAVs for Precision Agriculture. We discuss the most common applications, the types of UAVs exploited and then we focus on the data acquisition methods and technologies, appointing the benefits and drawbacks of each one. We also point out the most popular processing methods of aerial imagery and discuss the outcomes of each method and the potential applications of each one in the farming operations.

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confidence: 99%

A Review on UAV-Based Applications for Precision Agriculture

2019

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“…Finally, by comparing their proposed model against an artificial neural network (ANN), they showcase its efficiency. Huuskonen and Oksanen [26] presented a methodology in relation to remote soil sampling while presenting the results on the augmented reality platform. Their work intended to reproduce a top soil map with management zones for precision farming based on the gaming experience.…”

Section: Utilization Of Artificial Intelligencementioning

confidence: 99%

A Collaborative Pilot Platform for Data Annotation and Enrichment in Viticulture

2019

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It took some time indeed, but the research evolution and transformations that occurred in the smart agriculture field over the recent years tend to constitute the latter as the main topic of interest in the so-called Internet of Things (IoT) domain. Undoubtedly, our era is characterized by the mass production of huge amounts of data, information and content deriving from many different sources, mostly IoT devices and sensors, but also from environmentalists, agronomists, winemakers, or plain farmers and interested stakeholders themselves. Being an emerging field, only a small part of this rich content has been aggregated so far in digital platforms that serve as cross-domain hubs. The latter offer typically limited usability and accessibility of the actual content itself due to problems dealing with insufficient data and metadata availability, as well as their quality. Over our recent involvement within a precision viticulture environment and in an effort to make the notion of smart agriculture in the winery domain more accessible to and reusable from the general public, we introduce herein the model of an aggregation platform that provides enhanced services and enables human-computer collaboration for agricultural data annotations and enrichment. In principle, the proposed architecture goes beyond existing digital content aggregation platforms by advancing digital data through the combination of artificial intelligence automation and creative user engagement, thus facilitating its accessibility, visibility, and re-use. In particular, by using image and free text analysis methodologies for automatic metadata enrichment, in accordance to the human expertise for enrichment, it offers a cornerstone for future researchers focusing on improving the quality of digital agricultural information analysis and its presentation, thus establishing new ways for its efficient exploitation in a larger scale with benefits both for the agricultural and the consumer domains.

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“…In this way, AR can improve understanding of real objects or even help the user to perform real-world tasks (Azuma, 1997). Due to the amount of possibilities that this technology offers, AR applications have been studied in several areas such as surgery (Bernhardt et al, 2017), agriculture (Huuskonen and Oksanen, 2018), education (Jamali et al, 2015) or cultural heritage (Gutierrez et al, 2015). The adoption of this visualization technology in cultural heritage improves the knowledge and satisfaction of the visitors (tom Dieck and Jung, 2017), and even achieves experiences that are more powerful (Younes et al, 2017).…”

Section: Related Workmentioning

confidence: 99%

Augmented Experience to Disseminate Cultural Heritage: House of Commons Windows, Parliament Hill National Historic Site (Canada)

Carrión-Ruiz

Blanco-Pons

Duong

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The use of photogrammetry and terrestrial laser scanning for building information modelling (BIM) in the documentation and conservation of Cultural Heritage (CH) is now well established. By combining BIM with the latest visualization technologies, powerful, semi-immersive experiences can be developed to enhance the dissemination of CH. In semi-immersive experiences such as Augmented Reality (AR), digital content can be overlapped on to physical spaces, providing a new way to interact with both the physical space and the digital content. This paper discusses the translation of a digital object created using BIM, into a physical object and the utilisation of this physical object as a trigger for an AR experience. The case study looks at one of the neo- Gothic window frames from the House of Commons in the Centre Block of the Parliament Hill National Historic Site, in Ottawa, Canada. The window frame is one in a series that represents a Canadian province or territory with a stained glass feature that includes floral emblems and heraldic symbols from the respective provincial or territorial shield. The frame in this case study corresponds to the stained glass window of five provinces. Using the replica frame as a target, the user can select which stained glass windows they would like to view in the AR application. Through these combined technologies, we argue that CH can be revealed in a more interactive way and therefore more engaging manner &ndash; making even inaccessible architectural details readily available to the public.

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Soil sampling with drones and augmented reality in precision agriculture

Cited by 185 publications

References 15 publications

A Review on UAV-Based Applications for Precision Agriculture

A Review on UAV-Based Applications for Precision Agriculture

A Collaborative Pilot Platform for Data Annotation and Enrichment in Viticulture

Augmented Experience to Disseminate Cultural Heritage: House of Commons Windows, Parliament Hill National Historic Site (Canada)

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