Drone-Related Agrotechnologies for Precise Plant Protection in Western Balkans: Applications, Possibilities, and Legal Framework Limitations
Abstract
:1. Introduction
2. Economic Effects of Drone Usage in Plant Protection
- Autonomous Drone Spraying: Autonomous spraying involves farmers owning and utilizing their own drones for crop spraying. This approach brings benefits such as reduced service costs, greater flexibility in work scheduling, and rapid response in emergencies. However, challenges include the initial costs of acquiring the drone and technical training. Additionally, maintaining the drone requires additional resources. The cost depends on the drone model used and the necessary accompanying equipment for that specific model. For the purpose of a general economic analysis, we will consider the example of the DJI Agras T30 drone, currently widely used in Serbia. Costs associated with autonomous spraying include fuel for the generator, fuel for transporting the drone (e.g., by car with a trailer) to the field, and costs allocated for drone depreciation. To charge the DJI Agras T30 drone battery during operation, an approximate 9.5 kW generator is required. In the case of a gasoline generator, fuel consumption ranges from 0.4–0.5 L/ha of treated land. According to the Price List of Machinery Services for 2023 published by the Cooperative Union of Vojvodina [24], which we will use as a reference for this analysis, the average price of 1.62 €/L of unleaded gasoline with 100 octanes. Based on this calculation, the cost of fuel consumed during battery charging while spraying ranges from €0.64–0.80 L/ha. According to current market conditions, an approximate depreciation cost of 7.5 €/ha can be considered [24]. Therefore, excluding costs of water, pesticides, drone transport, and pesticide solution to the treated field, as well as labor costs, the cost of operating the DJI Agras T30 crop spraying drone can be estimated at 8.22 ± 5% €/ha.
- Service-Based Drone Spraying: Service-based spraying involves farmers hiring professional service providers who use their drones for crop spraying. This approach eliminates initial costs of drone procurement and training, provides expertise from service providers, and allows scalability based on the treated area. However, service costs can be a significant factor, along with dependence on service availability and lack of direct control over spraying timing. The cost of annual formation of spraying services in Serbia can be compared with the Price List of Machinery Services for 2023 published by the Cooperative Union of Vojvodina [24]. A comparative price overview is presented in Table 1.
3. Deep Technologies behind Drones’ Usage
4. Application of Chemicals
5. Application of Biocontrol Agents
- Precision: Drones can be programmed to follow precise flight paths and apply biocontrol agents only to specific areas, reducing the risk of overspray or off-target application;
- Efficiency: Drones can cover large areas quickly and can be used to apply biocontrol agents at specific times or stages of pest development to maximize their effectiveness;
- Safety: Drones can reduce the need for people to work in potentially hazardous environments, such as areas with high levels of pesticides or areas with dangerous pests, such as venomous spiders;
- Sustainability: The use of biocontrol agents can reduce the need for chemical pesticides, which can have negative impacts on the environment and human health;
- User friendliness and technical aspects: Simple operation, low operating cost, high operating efficiency, and wide application range [46].
6. Legislation for the Use of Drones in Agriculture: A Case Study in Serbia
- At an altitude above 100 m.
- Near airports.
- Over or in the vicinity of people (less than 30 m).
- At a horizontal distance greater than 500 m from an unmanned aircraft operator.
- Within a restricted area.
- At night.
- Releasing fluid or objects or carrying external cargo is not an element of the structure of an unmanned aircraft.
- A certificate for passing the knowledge test that is conducted by the Directorate, with at least 75% of the questions answered correctly;
- The manufacturer’s instruction manual for the particular aircraft, in paper or electronic form;
- Document proving the operator’s medical fitness;
- Approval of the Directorate for Categories 3 and 4, and special cases described in the text above for Categories 1 and 2.
- Proof of customs duties paid if the aircraft was manufactured in a foreign state, or a certified written statement of the owner if the aircraft was manufactured in the Republic of Serbia;
- The manufacturer’s instruction manual for the use of the unmanned aircraft, in Serbian or English;
- Liability insurance contract for damage to third parties.
- The person applying plant protection products must notify the local beekeepers, their association, and the local self-government authorities about the impending application of plant protection products at least 48 h before the treatment, indicating the application method, in order to take the relevant protection measures.
- Bee societies should be located at least five kilometers away from the treatment site. The lack of clear instructions on pesticide labels indicating whether it is suitable for application from a drone complicates the process of choosing the right pesticide, particularly insecticide, for farmers and makes the entire process of treating plants with unmanned aircraft much more difficult than it needs to be. Most herbicides, fungicides, and miticides are relatively nontoxic to honeybees and can generally be used safely around them [78]. However, certain herbicides, such as glyphosate, can have an impact on bee navigation, learning, and larval development [79]. To avoid the unintentional use of toxic substances, all licit pesticides that are non-poisonous to bees should be labeled for safe application via drones.
7. Other WBC and Their Regulations on Drone Applications
8. Participation of WB Countries in EU-Supported Projects Covering State-of-the-Art UAV and Related Technologies: Case Studies
9. Discussion
10. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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No. | Service Description | Unit | Price €/ha |
---|---|---|---|
1. | Tractor spraying of arable and vegetable crops without air support | ha | 28.32 |
2. | Tractor spraying of arable and vegetable crops with air support | ha | 34.12 |
3. | Spraying with high-clearance self-propelled sprayer | ha | 37.54 |
4. | Drone Spraying | ha | 30–45 |
Drone Categories | Serbia | Republic of North Macedonia | Montenegro | Bosnia and Herzegovina | EU Regulations |
---|---|---|---|---|---|
1 | 0.25–0.9 kg | <0.5 kg | <5 kg | 249 g–1 kg | <250 g |
2 | 0.9–4 kg | 0.5–5 kg | 5–10 kg | 1–2 kg | 250–900 g |
3 | 4–25 kg | 5–20 kg | 10–20 kg | 2–5 kg | 900 g–4 kg |
4 | 25–150 kg | 20–150 kg | - | 5–25 kg | 4–25 kg |
5 | - | >150 kg | - | - | >25 kg |
Project Acronym | Supporting EU Programme | Full Title of the Project (If Available) | Scientific Field | Technologies Incorporated | * End Year of Project | References | |
---|---|---|---|---|---|---|---|
1 | AgroRoboFood | Horizon 2020 project (GA 825395) | Business-Oriented Support to the European Robotics and Agri-food Sector, towards a network of Digital Innovation Hubs in Robotics | Agriculture, Food Industry | Robotics, UAV, and others | 2023 | [83] |
2 | DEMETER | Horizon 2020 project (857202) | Building an Interoperable, Data-Driven, Innovative, and Sustainable European Agri-Food Sector | Agriculture, Food Industry | Precision farming, UAV-driven monitoring, and others | 2023 | [84] |
3 | SmartAgriHubs | Horizon 2020 project (818182) | Connecting the dots to unleash the innovation potential for digital transformation of the European agri-food sector | Agriculture, Food Industry | Digital innovations, precision agriculture, and others | 2022 | [85] |
4 | Robs4Crops | Horizon 2020 project (101016807) | Robots for protecting crops | Crop Science, Agriculture, Food Industry | AI, robots, UAV, precision agriculture, and others | 2024 | [86] |
5 | SENSECO | COST Action (CA17134) | Optical synergies for spatiotemporal SENsing of Scalable ECOphysiological traits | Ecophysiology, Biology | Robotics, satellite imaging, optical measurement, and others | 2023 | [87] |
6 | InsectAI | COST Action (CA22129) | Using Image-Based AI for Insect Monitoring and Conservation | Entomology, Pest Monitoring | AI, computer vision, robotics, and others | 2027 | [88] |
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Ivezić, A.; Trudić, B.; Stamenković, Z.; Kuzmanović, B.; Perić, S.; Ivošević, B.; Buđen, M.; Petrović, K. Drone-Related Agrotechnologies for Precise Plant Protection in Western Balkans: Applications, Possibilities, and Legal Framework Limitations. Agronomy 2023, 13, 2615. https://doi.org/10.3390/agronomy13102615
Ivezić A, Trudić B, Stamenković Z, Kuzmanović B, Perić S, Ivošević B, Buđen M, Petrović K. Drone-Related Agrotechnologies for Precise Plant Protection in Western Balkans: Applications, Possibilities, and Legal Framework Limitations. Agronomy. 2023; 13(10):2615. https://doi.org/10.3390/agronomy13102615
Chicago/Turabian StyleIvezić, Aleksandar, Branislav Trudić, Zoran Stamenković, Boris Kuzmanović, Sanja Perić, Bojana Ivošević, Maša Buđen, and Kristina Petrović. 2023. "Drone-Related Agrotechnologies for Precise Plant Protection in Western Balkans: Applications, Possibilities, and Legal Framework Limitations" Agronomy 13, no. 10: 2615. https://doi.org/10.3390/agronomy13102615
APA StyleIvezić, A., Trudić, B., Stamenković, Z., Kuzmanović, B., Perić, S., Ivošević, B., Buđen, M., & Petrović, K. (2023). Drone-Related Agrotechnologies for Precise Plant Protection in Western Balkans: Applications, Possibilities, and Legal Framework Limitations. Agronomy, 13(10), 2615. https://doi.org/10.3390/agronomy13102615