A Review on UAV-Based Applications for Precision Agriculture

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 application...

Full description

Bibliographic Details
Main Authors: Dimosthenis C. Tsouros, Stamatia Bibi, Panagiotis G. Sarigiannidis
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/10/11/349
_version_ 1828528318830346240
author Dimosthenis C. Tsouros
Stamatia Bibi
Panagiotis G. Sarigiannidis
author_facet Dimosthenis C. Tsouros
Stamatia Bibi
Panagiotis G. Sarigiannidis
author_sort Dimosthenis C. Tsouros
collection DOAJ
description 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.
first_indexed 2024-12-11T21:50:46Z
format Article
id doaj.art-06bba019290946d58d3edf88460247cd
institution Directory Open Access Journal
issn 2078-2489
language English
last_indexed 2024-12-11T21:50:46Z
publishDate 2019-11-01
publisher MDPI AG
record_format Article
series Information
spelling doaj.art-06bba019290946d58d3edf88460247cd2022-12-22T00:49:28ZengMDPI AGInformation2078-24892019-11-01101134910.3390/info10110349info10110349A Review on UAV-Based Applications for Precision AgricultureDimosthenis C. Tsouros0Stamatia Bibi1Panagiotis G. Sarigiannidis2Department of Electrical and Computer Engineering, University of Western Macedonia, 50100 Kozani, GreeceDepartment of Electrical and Computer Engineering, University of Western Macedonia, 50100 Kozani, GreeceDepartment of Electrical and Computer Engineering, University of Western Macedonia, 50100 Kozani, GreeceEmerging 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.https://www.mdpi.com/2078-2489/10/11/349remote sensingiotuavuasunmanned aerial vehicleunmanned aerial systemimage processingprecision agriculturesmart farmingreview
spellingShingle Dimosthenis C. Tsouros
Stamatia Bibi
Panagiotis G. Sarigiannidis
A Review on UAV-Based Applications for Precision Agriculture
Information
remote sensing
iot
uav
uas
unmanned aerial vehicle
unmanned aerial system
image processing
precision agriculture
smart farming
review
title A Review on UAV-Based Applications for Precision Agriculture
title_full A Review on UAV-Based Applications for Precision Agriculture
title_fullStr A Review on UAV-Based Applications for Precision Agriculture
title_full_unstemmed A Review on UAV-Based Applications for Precision Agriculture
title_short A Review on UAV-Based Applications for Precision Agriculture
title_sort review on uav based applications for precision agriculture
topic remote sensing
iot
uav
uas
unmanned aerial vehicle
unmanned aerial system
image processing
precision agriculture
smart farming
review
url https://www.mdpi.com/2078-2489/10/11/349
work_keys_str_mv AT dimosthenisctsouros areviewonuavbasedapplicationsforprecisionagriculture
AT stamatiabibi areviewonuavbasedapplicationsforprecisionagriculture
AT panagiotisgsarigiannidis areviewonuavbasedapplicationsforprecisionagriculture
AT dimosthenisctsouros reviewonuavbasedapplicationsforprecisionagriculture
AT stamatiabibi reviewonuavbasedapplicationsforprecisionagriculture
AT panagiotisgsarigiannidis reviewonuavbasedapplicationsforprecisionagriculture