Drone-based Monitoring of Sunflower Crops
Remote monitoring and utilization of digital technologies is essential for the application of the precision farming approach, which contributes significantly to the improved quality of agricultural products. The paper compares the data for six vegetation indices when observing the sunflower vegetat...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Technical University of Varna, Bulgaria
2022-05-01
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| Series: | Annual Journal of Technical University of Varna |
| Subjects: | |
| Online Access: | https://aj-tuv.org/index.php/ajtuv/article/view/258 |
| _version_ | 1818232061527326720 |
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| author | Asparuh Atanasov Radko Mihaylov Svilen Stoyanov Desislava Mihaylova Peter Benov |
| author_facet | Asparuh Atanasov Radko Mihaylov Svilen Stoyanov Desislava Mihaylova Peter Benov |
| author_sort | Asparuh Atanasov |
| collection | DOAJ |
| description |
Remote monitoring and utilization of digital technologies is essential for the application of the precision farming approach, which contributes significantly to the improved quality of agricultural products. The paper compares the data for six vegetation indices when observing the sunflower vegetation in South Dobrudzha in 2021. Images with RGB and digital NIR camera were obtained via a remotely piloted quadcopter. The flight plan specifies speed 8 m/s, altitude 100 m and shooting overlapping images of 80%. Six vegetation indices: NDVI, EVI2, SAVI, CVI, MGVRI and MPRI were calculated from the images obtained during the flight. The calculation of the indices takes into account the intensity of solar radiation and the parameters of the meteorological situation at the time of shooting. The findings obtained reveal a stable trend of change of the vegetation indices, thus, establishing accurate and reliable results as for the monitoring of agricultural areas with unmanned aerial vehicles.
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| first_indexed | 2024-12-12T11:00:18Z |
| format | Article |
| id | doaj.art-345c2c2b17464df9a883a9665176f82d |
| institution | Directory Open Access Journal |
| issn | 2603-316X |
| language | English |
| last_indexed | 2024-12-12T11:00:18Z |
| publishDate | 2022-05-01 |
| publisher | Technical University of Varna, Bulgaria |
| record_format | Article |
| series | Annual Journal of Technical University of Varna |
| spelling | doaj.art-345c2c2b17464df9a883a9665176f82d2022-12-22T00:26:32ZengTechnical University of Varna, BulgariaAnnual Journal of Technical University of Varna2603-316X2022-05-016110.29114/ajtuv.vol6.iss1.258Drone-based Monitoring of Sunflower CropsAsparuh AtanasovRadko MihaylovSvilen StoyanovDesislava MihaylovaPeter Benov Remote monitoring and utilization of digital technologies is essential for the application of the precision farming approach, which contributes significantly to the improved quality of agricultural products. The paper compares the data for six vegetation indices when observing the sunflower vegetation in South Dobrudzha in 2021. Images with RGB and digital NIR camera were obtained via a remotely piloted quadcopter. The flight plan specifies speed 8 m/s, altitude 100 m and shooting overlapping images of 80%. Six vegetation indices: NDVI, EVI2, SAVI, CVI, MGVRI and MPRI were calculated from the images obtained during the flight. The calculation of the indices takes into account the intensity of solar radiation and the parameters of the meteorological situation at the time of shooting. The findings obtained reveal a stable trend of change of the vegetation indices, thus, establishing accurate and reliable results as for the monitoring of agricultural areas with unmanned aerial vehicles. https://aj-tuv.org/index.php/ajtuv/article/view/258agricultural monitoring, infrared imaging, sunflower, vegetation indexes, droneagricultural monitoringinfrared imagingsunflowervegetation indexesdrone |
| spellingShingle | Asparuh Atanasov Radko Mihaylov Svilen Stoyanov Desislava Mihaylova Peter Benov Drone-based Monitoring of Sunflower Crops Annual Journal of Technical University of Varna agricultural monitoring, infrared imaging, sunflower, vegetation indexes, drone agricultural monitoring infrared imaging sunflower vegetation indexes drone |
| title | Drone-based Monitoring of Sunflower Crops |
| title_full | Drone-based Monitoring of Sunflower Crops |
| title_fullStr | Drone-based Monitoring of Sunflower Crops |
| title_full_unstemmed | Drone-based Monitoring of Sunflower Crops |
| title_short | Drone-based Monitoring of Sunflower Crops |
| title_sort | drone based monitoring of sunflower crops |
| topic | agricultural monitoring, infrared imaging, sunflower, vegetation indexes, drone agricultural monitoring infrared imaging sunflower vegetation indexes drone |
| url | https://aj-tuv.org/index.php/ajtuv/article/view/258 |
| work_keys_str_mv | AT asparuhatanasov dronebasedmonitoringofsunflowercrops AT radkomihaylov dronebasedmonitoringofsunflowercrops AT svilenstoyanov dronebasedmonitoringofsunflowercrops AT desislavamihaylova dronebasedmonitoringofsunflowercrops AT peterbenov dronebasedmonitoringofsunflowercrops |