=Paper=
{{Paper
|id=Vol-3930/paper16
|storemode=property
|title=Evaluation of flight directions and other canopy coverage characteristics from aerial spraying, using Remotely Piloted Aerial Application Systems (RPAAS aka drones), in a high-density linear olive grove
|pdfUrl=https://ceur-ws.org/Vol-3930/paper16.pdf
|volume=Vol-3930
|authors=Athanasios Gertsis,Pantelis Konstandaras
|dblpUrl=https://dblp.org/rec/conf/haicta/GertsisK24
}}
==Evaluation of flight directions and other canopy coverage characteristics from aerial spraying, using Remotely Piloted Aerial Application Systems (RPAAS aka drones), in a high-density linear olive grove==
Evaluation of flight directions and other canopy coverage
characteristics from aerial spraying, using Remotely
Piloted Aerial Application Systems (RPAAS aka drones),
in a high-density linear olive grove⋆
Athanasios Gertsis1, ∗,† and Pantelis Konstandaras1,†
1
Department of Sustainable Agriculture and Management, Perrotis College/American Farm School, 54 Marinou Antypa
Street, 57001, Thessaloniki, Greece
Abstract
The use of Remotely Piloted Aerial Application System (RPAAS, aka drones) for applications of various
plant protection products, fertilizers, biostimulants, air seeding and air-fertilization is becoming the most
effective way for to provide sustainable solutions in all crop species. It is also the faster developing
agricultural technology and very much accepted and used by farmers and other stake holders. However,
few studies exist to evaluate precisely the overall effectiveness and efficacy of these systems. The RPAAS
Currently used mainly in field crops and not much on tree production systems. This study was established
to specifically evaluate the flight direction (parallel vs. perpendicular to planted lines) in a linear and high-
density olive grove, at the premises of the Perrotis College/American Farm School, Thessaloniki. The olive
grove adapted for mechanical harvesting, was established in 2011 and consists of two varieties used in these
systems (Arbequina and Koroneiki), three planting densities a Super high Density (SHD), a High Density
(HD) and a Medium Density (MD) with 1670, 1000 and 500 trees/ha, respectively, spaced at 4 m between
the rows. The traditional olive systems use ca. 250-350 trees/ha spaced in orthogonal systems. These density
systems represent a much more dense plant canopy than the traditional olive groves and it is a unique case
to evaluate penetration studies with aerial spraying systems. The drone used two Flight Directions (FD), a
parallel (Par FD) and a perpendicular (Per FD) to the planted lines, using various flight settings (volume,
height and speed). The percent Canopy coverage (PC%) and other droplet characteristics were recorder
with Water Sensitive Papers (WSP) in all three planting Densities and in three heights (low –medium –
high) within each olive tree replicated. The overall results indicated that the Perpendicular flight (Per FD)
provided a better coverage and also planting densities and tree profile, were not shown to significantly vary
among all three densities These results can be used by users of RPAAS to achieve better canopy coverage
in foliar applications. Therefore, using the same volume of spraying, a higher coverage can be achieved.
The results presented in this study are only applicable to the specific type of high-density olive linear
systems and should not be extrapolated directly to other linear systems such as vineyards, fruit trees, due
to the differences in plant canopy, geometry and density and to traditional olive groves. Comparative aerial
spraying studies between high and traditional olive densities and in vineyards are in progress at Perrotis
College/American Farm School.
Keywords
RPAAS, UAS, spraying drones, high density olive, flight direction evaluation 1
1. Introduction
The development of new agricultural technologies immediately used by the famers and other end-
users is advancing with a fast rate. More specifically the area of robotics (ground and aerial) is re-
shaping the agricultural management strategies and presents a one-way direction for the future.
⋆ Short Paper Proceedings, Volume I of the 11th International Conference on Information and Communication Technologies in
Agriculture, Food & Environment (HAICTA 2024), Karlovasi, Samos, Greece, 17-20 October 2024.
∗
Corresponding author.
†
These authors contributed equally.
agerts@afs.edu.gr (A. Getrsis); pkons@perrotis.edu.gr (P. Konstandaras)
0009-0007-5726-7733 (A. Gertsis)
© 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
CEUR
Workshop
ceur-ws.org 95
ISSN 1613-0073
Proceedings
The focus of this study is the aerial applications by remotely piloted domes (RPAAS Remotely
Piloted Aerial Application systems aka spraying drones). These devices are not only used for spaying
but also for air-seeding, air-fertilization with granular or pelleted type fertilizers, and other
agricultural related uses.
The many advantages of drones have been outlined in numerous studies. A study [1] outlined a
thorough comparison among a variety of ground and aerial (drones) sprayers systems. The recent
development in RPAAS produced new knowledge and belter functionalities. Their potential for
spraying over net covered crops [2] is very importance for crop protection, in lieu on the climate
change which has among other issues, increased significantly the occurrence of hail events in Greece
and globally. The objective of this study was to evaluate two flight directions, in parallel and vertical
flight of the drone above a high-density olive grove system. There is very limited work [3] on these
special olive linear systems and the knowledge generated is expected to facilitate the most efficient
on the two flight paths. A study in Spain in vineyards and traditional spaced olives [4] reported that
the aerial efficiency is much higher for UAV sprayers. Also, the aerial drone sprayers require a lower
cost of water and products. The RPAAS have a number of additional advantages over the
conventional ground systems, such as lower cost in spraying olives for the olive fruit fly [5] and
other crops [6], safety for the farmers and the environment and an overall higher efficiency in pest
management [7]. It should be mentioned that the technological models presented in this study,
already represent somehow “relative older” models. The developments in this technological area
have a very short tech life, approximately 12 months and the new models entering the EU agricultural
market by the next years are much superior in terms of capacity and software. The introduction of
artificial intelligence (AI) in the software is already producing more efficiency and accuracy. The use
of RPAAS in Precision Agriculture (PA) has been proven to be one of the most efficient and friendly
user technologies, immediately available to end users (farmers, and sprayers). It remains for the EU
to finally update the EU legislation about aerial spraying systems (RPAAS), which remains
unchanged literally from 2006. There is too much conclusive evidence supporting the change. Recent
comparative studies showed that although major steps have been done forwards, there are still
deficiencies that should be overcome [8].
2. Materials and Methods
The study took place in the Educational-Research-Demonstration high density olive grove
adapted for mechanical harvesting at Perrotis college/American Farm School in Thessaloniki, Greece.
Two varieties (Arbequina nand Koroneiki) are arranged in linear systems at three planting densities
- PDs (Super high, High and Medium, corresponding to 1670, 1000 and 500 trees /ha). Two different
technological drones were tested for a number of flights over the olive grove and Water sensitive
Papers (WSPs) were placed in each one of the three PD and in Koroneiki variety plants. Also at each
tree, papers were placed in a profile to evaluate the vertical distribution of droplets the Upper-Middle
and Low part of the tree. The two Flight Direction (FDs) were Parallel and Vertical to planted lines
(Fig.1).
96
Figure 1: The Flight Directions and the position of WSPs in the high density olive grove.
All flights conducted using two different model drones. The Topxgun (16 L tank capacity) uses
four conventional nozzles and the EA Vision Hercules EA -30 XP with 30 liters tank capacity uses
two centrifugal type nozzles (Fig. 2). The same settings in speed, height above canopy, dosage were
used by all models and flights. The percent plant coverage (PC%) and other droplet characteristics
were measured using the Deposit Scan software [https://www.ars.usda.gov/midwest-area/wooster-
oh/application-technology-research /engineering/ depositscan/].
Figure 2: LEFT the Hercules EA-30 XP model and RIGHT the Topxgun 16 drone
3. Results and Discussion
The first flight conducted by the Topxgun 16 L drone has shown that Vertical flight has
statistically significant higher percent coverage than the parallel flight and there was no differences
among the three PDs and the three positions in each tree (Table 1).
The additional two flights conducted by the Hercules model, showed very similar results with the
previous flight by the other drone model (Tables 2 and 3). The overall results validate the higher
efficiency of the Vertical flight direction, while justifying the overall efficiency of the fine droplets
generated by both drones across the different PDs and also the tree profile. The uniformity of PC%
is very critical when spraying crops from above and this is due by the strong downward and
turbulent flow generated by the four propellers of the drones. Special droplet characteristics
analyzed (size and distribution) have also verified and supported the conclusion drawn by the PC%.
This type of olive linear production system represents a unique canopy architecture for aerial
spraying drone evaluation, The density of the canopy is much higher (also an evergreen plant
species) than all other linear production systems (i.e. vineyards, kiwi, apple, pear, etc. fruits) and
therefore is a good indicator for evaluation of spraying efficiency.
97
Table 1
One-way Analysis of PC% by TOPXGUN model (1st flight)
By Flight Direction
Level Mean PC%
Vertical A 1.022
Parallel B 0.526
By Planting Density (PD) (pooled data)
Level-PD Mean PC%
MD A 2.412
SHD A 1.807
HD A 1.395
By Position in the Tree (pooled data)
Level-Position in the Tree Mean PC%
UPPER A 2.208
LOW A 1.980
MIDDLE A 1.582
Levels not connected by same letter are significantly different.
Table 2
One-way Analysis of PC% by Hercules EA-30 Xp model (2nd flight)
By Flight Direction
Level Mean PC%
Vertical A 1.317
Parallel B 0.631
By Planting Density (PD)
Level-PD Mean PC%
MD A 1.390
SHD AB 0.867
HD B 0.563
By Position in the Tree
Level-Position in the Tree Mean PC%
UPPER A 1.208
LOW A 0.980
MIDDLE A 0.582
Table 3
One-way Analysis of PC% by Hercules EA-30 Xp model (3rd flight)
By Flight Direction
Level Mean PC%
Perpendicular A 1.160
Parallel B 0.578
By Planting Density (PD)
Level-PD Mean PC%
HD A 1.364
MD B 0.663
SHD B 0.577
By Position in the Tree (pooled data)
Level-Position in the Tree Mean PC%
LOW A 1.044
UPPER A 0.994
MIDDLE A 0.566
98
4. Conclusions and recommendations
The results from three flights and the two different drone models demonstrated in all cases that
the perpendicular/vertical to line flight is more efficient than the parallel in terms of overall percent
canopy cover. This should be considered from those using aerial sprayings in such a linear system.
However, and cautiously interpreted, the results presented in this study are only applicable to the
specific type of high-density olive linear systems and should not be extrapolated directly to other
linear systems such as vineyards, fruit and nut trees (almonds, apples, pears, peaches, kiwi fruits etc.)
due to the differences in plant canopy, geometry and density and to traditional olive groves for which
no such data is available. It was very interesting also to conclude that the spraying uniformity across
three quite variable planting densities as well as for within the vertical tree profile was not affected
by the overall spraying in both directions This was true in pooled data but also within each FD (not
shown here). Comparative aerial spraying studies between high and traditional olive densities and
in vineyards and other fruit systems are in progress at Perrotis College/American Farm School and
in collaborating farmers.
Acknowledgements
The authors express their sincere gratitude to the two companies provided the spraying drones
(Spyridonakis [https://www.spiridonakis.com/drones-el-gr] and PROMEX
[https://drone.promex.gr/]) in Thessaloniki, Greece.
Declaration on Generative AI
The author(s) have not employed any Generative AI tools.
References
[1] Gertsis, A. and L. Karampekos, 2021. Evaluation of Spray Coverage and Other Spraying
Characteristics from Ground and Aerial Sprayers (Drones: UAVs) Used in a High-Density
Planting Olive Grove in Greece. In: Bochtis, D.D., Pearson, S., Lampridi, M., Marinoudi, V.
Pardalos, P.M. (eds) Information and Communication Technologies for Agriculture—Theme IV:
Actions. Springer Optimization and Its Applications, vol 185. Springer, Cham.
https://doi.org/10.1007/978-3-030-84156-0_13.
[2] Gertsis, A. 2023. Efficiency of Unmanned Aerial Spraying Systems (UASSs) for specialty crops
in Greece grown under nethouse/shade/hail protection nets. International Conference, Institute
of Integrative Precision Agriculture, University of Georgia, Athens, GA - USA. May 18-19, 2023.
[3] Aru, F., Gertsis, A., Vellidis, G. and Morari, F. 2019. Investigation of spraying efficiency of an
aerial spraying system in a super-high density olive grove in Greece. Proceedings of
Conference: 12th European Conference on Precision Agriculture, Montpellier, France. DOI:
10.3920/978-90-8686-888-9_44.
[4] Morales-Rodríguez, P.A.; Cano Cano, E.; Villena, J.; and López-Perales, J.A. 2022. A Comparison
between Conventional Sprayers and New UAV Sprayers: A Study Case of Vineyards and Olives
in Extremadura (Spain). Agronomy 2022, 12, 1307. https://doi.org/10.3390/agronomy 12061307.
[5] Cavalaris, C.; Tagarakis, A.C.; Kateris, and D. Bochtis, D. 2023. Cost Analysis of Using UAV
Sprayers for Olive Fruit FlyControl. AgriEngineering 2023, 5, 1925–1942. https:
//doi.org/10.3390/agriengineering5040118.
[6] Wiangsamut, B., Anutrakinchai, S., Makhonpas, C., Wiangsamut, M. E. and and
Thongkamngam, T. 2024. Efficiency of AI drone, air-blast, and long hose pump sprayers in
spraying fungicide to manage leaf sheath blight caused by Rhizoctonia solani in durian.
International Journal of Agricultural Technology 2024 Vol. 20(4):1687-1708. Available online
http://www.ijat-aatsea.com ISSN 2630-0192 (Online).
99
[7] Sahni, R.K. et al. 2024. Drone Spraying System for Efficient Agrochemical Application
inPrecision Agriculture. In: Chouhan, S.S., Singh, U.P., Jain, S. (eds) Applications of Computer
Vision and Drone Technology in Agriculture 4.0. Springer, Singapore.
https://doi.org/10.1007/978-981-99-8684-2_13.
[8] Tsotra, A. 2024. Critical Comparative Analysis of UAS Legislative Developments, ISPRS Ann.
Photogramm. Remote Sens. Spatial Inf. Sci., X-4/W4-2024, 223–230,
https://doi.org/10.5194/isprs-annals-X-4-W4-2024-223-2024, 2024.
100