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Cited by 957

The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index.

A compilation of UAV applications for precision agriculture

Open access
Radoglou-Grammatikis, Panagiotis, Sarigiannidis, Panagiotis, Lagkas, Thomas, Moscholios, Ioannis·2020·Computer Networks

Abstract

Climate change has introduced significant challenges that can affect multiple sectors, including the agricultural one. In particular, according to the Food and Agriculture Organization of the United Nations (FAO) and the International Telecommunication Union (ITU), the world population has to find new solutions to increase the food production by 70% by 2050. The answer to this crucial challenge is the suitable adoption and utilisation of the Information and Communications Technology (ICT) services, offering capabilities that can increase the productivity of the agrochemical products, such as pesticides and fertilisers and at the same time, they should minimise the functional cost. More detailed, the advent of the Internet of Things (IoT) and specifically, the rapid evolution of the Unmanned Aerial Vehicles (UAVs) and Wireless Sensor Networks (WSNs) can lead to valuable and at the same time economic Precision Agriculture (PA) applications, such as aerial crop monitoring and smart spraying tasks. In this paper, we provide a survey regarding the potential use of UAVs in PA, focusing on 20 relevant applications. More specifically, first, we provide a detailed overview of PA, by describing its various aspects and technologies, such as soil mapping and production mapping as well as the role of the Global Positioning Systems (GPS) and Geographical Information Systems (GIS). Then, we discriminate and analyse the various types of UAVs based on their technical characteristics and payload. Finally, we investigate in detail 20 UAV applications that are devoted to either aerial crop monitoring processes or spraying tasks. For each application, we examine the methodology adopted, the proposed UAV architecture, the UAV type, as well as the UAV technical characteristics and payload.

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Metadata

Authors
Radoglou-Grammatikis, P., Sarigiannidis, P., Lagkas, T., & Moscholios, I.
Venue
Computer Networks
Publisher
Elsevier BV
Published
2020-05
Volume
172
Pages
107148
ISSN
1389-1286 (ISSN-L)
OpenAlex
W3005863531
Cited by
957
References
108
FWCI
70.62
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: A compilation of UAV applications for precision agriculture. https://app.cochat.ai/papers/10.1016/j.comnet.2020.107148
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Radoglou-Grammatikis, P., Sarigiannidis, P., Lagkas, T., & Moscholios, I. (2020). A compilation of UAV applications for precision agriculture. Computer Networks. https://doi.org/10.1016/j.comnet.2020.107148

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.