Trends in Remote Sensing Technologies in Olive Cultivation
Various Remote Sensing (RS) technologies and platforms have been widely used in olive cultivation studies over the last 16 years. These technologies and platforms have been applied throughout the olive cultivation cycle, providing significant insights into olive growth and productivity. The goal of...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-02-01
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| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375522000685 |
| _version_ | 1828149642019209216 |
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| author | Evangelos Anastasiou Athanasios T. Balafoutis Spyros Fountas |
| author_facet | Evangelos Anastasiou Athanasios T. Balafoutis Spyros Fountas |
| author_sort | Evangelos Anastasiou |
| collection | DOAJ |
| description | Various Remote Sensing (RS) technologies and platforms have been widely used in olive cultivation studies over the last 16 years. These technologies and platforms have been applied throughout the olive cultivation cycle, providing significant insights into olive growth and productivity. The goal of this review was to determine the importance of RS technologies and platforms in specific agronomic focus areas in order to determine the equipment and platform requirements in olive cultivation studies. For this reason, frequency and correspondence studies were carried out. Unmanned aerial vehicles, multispectral sensors, and vigour assessment found to be important in olive cultivation studies. Additionally, each agronomic focus area in an olive cultivation study presents different needs in equipment, proximity of sensing, and coverage area, indicating that this must be taken into account during field experiments with RS. Further technological improvements will permit the use of other RS technologies and platforms during future studies. Finally, future studies are expected to focus more on RS data processing as well as on the use of unmanned aerial and ground vehicles in swarms for data collection and performance of actions. |
| first_indexed | 2024-04-11T21:33:09Z |
| format | Article |
| id | doaj.art-8beefa0d726e46a988c2220761509ecc |
| institution | Directory Open Access Journal |
| issn | 2772-3755 |
| language | English |
| last_indexed | 2024-04-11T21:33:09Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Smart Agricultural Technology |
| spelling | doaj.art-8beefa0d726e46a988c2220761509ecc2022-12-22T04:01:53ZengElsevierSmart Agricultural Technology2772-37552023-02-013100103Trends in Remote Sensing Technologies in Olive CultivationEvangelos Anastasiou0Athanasios T. Balafoutis1Spyros Fountas2Department of Natural Resources Management & Agricultural Engineering, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece; Corresponding author.Institute for Bio-Economy & Agri-Technology, Centre of Research & Technology Hellas, Dimarchou Georgiadou 118, 38221 Volos, GreeceDepartment of Natural Resources Management & Agricultural Engineering, Agricultural University of Athens, Iera Odos 75, 11855 Athens, GreeceVarious Remote Sensing (RS) technologies and platforms have been widely used in olive cultivation studies over the last 16 years. These technologies and platforms have been applied throughout the olive cultivation cycle, providing significant insights into olive growth and productivity. The goal of this review was to determine the importance of RS technologies and platforms in specific agronomic focus areas in order to determine the equipment and platform requirements in olive cultivation studies. For this reason, frequency and correspondence studies were carried out. Unmanned aerial vehicles, multispectral sensors, and vigour assessment found to be important in olive cultivation studies. Additionally, each agronomic focus area in an olive cultivation study presents different needs in equipment, proximity of sensing, and coverage area, indicating that this must be taken into account during field experiments with RS. Further technological improvements will permit the use of other RS technologies and platforms during future studies. Finally, future studies are expected to focus more on RS data processing as well as on the use of unmanned aerial and ground vehicles in swarms for data collection and performance of actions.http://www.sciencedirect.com/science/article/pii/S2772375522000685Remote sensingPrecision agricultureOlive cropSmart agricultureSensorsPlatforms |
| spellingShingle | Evangelos Anastasiou Athanasios T. Balafoutis Spyros Fountas Trends in Remote Sensing Technologies in Olive Cultivation Smart Agricultural Technology Remote sensing Precision agriculture Olive crop Smart agriculture Sensors Platforms |
| title | Trends in Remote Sensing Technologies in Olive Cultivation |
| title_full | Trends in Remote Sensing Technologies in Olive Cultivation |
| title_fullStr | Trends in Remote Sensing Technologies in Olive Cultivation |
| title_full_unstemmed | Trends in Remote Sensing Technologies in Olive Cultivation |
| title_short | Trends in Remote Sensing Technologies in Olive Cultivation |
| title_sort | trends in remote sensing technologies in olive cultivation |
| topic | Remote sensing Precision agriculture Olive crop Smart agriculture Sensors Platforms |
| url | http://www.sciencedirect.com/science/article/pii/S2772375522000685 |
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