From my perspective as an agricultural practitioner, the integration of technology into farming has revolutionized traditional practices. In recent years, the adoption of agricultural drones, specifically plant protection unmanned aerial vehicles (UAVs), has gained significant momentum across China. These drones, equipped with pesticide spraying systems, represent a leap forward in precision agriculture. I have observed that in mountainous regions like Fenggang County, where tea cultivation dominates, the challenges of labor shortages and complex terrain make agricultural drones an invaluable tool. This article delves into the current state and future potential of agricultural drones in such settings, emphasizing their advantages, limitations, and broader implications for sustainable tea production.

Globally, the use of agricultural drones has expanded rapidly, driven by the need for efficient crop management. In China, policy support, such as the 2014 “Central No. 1 Document” advocating for agricultural aviation, has fueled this growth. I recall that by 2021, over 120,000 agricultural drones were deployed by professional pest control services alone, covering more than 10.7 billion mu of farmland. This surge is attributed to their ability to perform tasks like pesticide spraying, fertilization, pollination, and mapping with unparalleled efficiency. From my experience, the core appeal of agricultural drones lies in their mobility, high spraying efficiency, and adaptability to difficult landscapes, which traditional ground equipment often cannot access. The promotion models I’ve seen include self-purchasing by large farms, cooperative-based sharing, and socialized service organizations, with the latter showing the most promise due to its scalability and affordability for smallholders.
In Fenggang County, the introduction of agricultural drones began around 2019, and since then, their adoption has accelerated. I have noted that initial demonstrations by agricultural departments, in collaboration with tech companies, yielded impressive results, with pest control efficacy averaging 90.2% in crops like rice and tea. This success sparked local interest, leading to a rise in fly-defense organizations. By 2022, five such organizations operated 15 agricultural drones, including models like DJI T20 and T30, capable of covering 30,000 to 45,000 mu daily. The cumulative fly-defense area from 2019 to 2022 exceeded 230,000 mu, with tea gardens accounting for about 33,800 mu. However, this represents only 1.8% of the total tea plantation area, indicating substantial room for growth. The data below summarizes the application across various crops, highlighting the expanding role of agricultural drones.
| Crop | 2019 | 2020 | 2021 | 2022 | Subtotal |
|---|---|---|---|---|---|
| Rice | 687 | 600 | 734 | 4134 | 6155 |
| Mulberry | 2467 | 1000 | 0 | 0 | 3467 |
| Tobacco | 533 | 634 | 1200 | 0 | 2367 |
| Tea Trees | 500 | 447 | 546 | 760 | 2253 |
| Sorghum | 0 | 187 | 235 | 246 | 668 |
| Vegetable | 80 | 200 | 267 | 0 | 547 |
| Fruit Tree | 0 | 100 | 146 | 0 | 246 |
| Total | 1187 | 1947 | 4816 | 7753 | 15703 |
Fenggang’s tea industry, with 500,000 mu of plantations across hilly terrain, faces unique challenges. The mountains are rich in biodiversity but prone to pests like tea green leafhoppers and mites, which can devastate yields. Traditional manual spraying is labor-intensive, inefficient, and poses health risks. In my view, agricultural drones offer a transformative solution here. Their ability to navigate slopes and deliver targeted sprays reduces human exposure to chemicals and enhances coverage. I’ve seen that the wind field generated by agricultural drones improves penetration into dense tea canopies, ensuring better adhesion of pesticides. This is critical for controlling small insects and pests that are hard to reach with handheld sprayers. The following analysis compares the performance of agricultural drones against conventional methods, underscoring their superiority in mountain tea gardens.
The advantages of agricultural drones in these settings are multifaceted. Firstly, efficiency gains are substantial. Based on my observations, a single agricultural drone like the DJI T20 can cover 200 mu per day, compared to just 10 mu for a manual sprayer. This represents a 20-fold increase in productivity, which is crucial during peak pest outbreaks when timing is essential. Secondly, resource savings are significant. Agricultural drones use ultra-low volume spraying, reducing water consumption by 94% and pesticide usage by over 20%. I calculate the pesticide saving rate using the formula: $$ \text{Saving Rate} = \frac{\text{Traditional Use} – \text{Drone Use}}{\text{Traditional Use}} \times 100\% $$ For instance, with traditional sprayers using 1365 mL/mu and agricultural drones using 930 mL/mu, the saving rate is: $$ \frac{1365 – 930}{1365} \times 100\% \approx 31.8\% $$ This not only cuts costs but also minimizes environmental contamination. Thirdly, safety improvements are notable. Agricultural drones enable operator separation from chemicals, reducing poisoning risks, especially when dealing with toxic pests like tea caterpillars.
| Plant Protection Equipment | Working Area (mu/day) | Labor Required (persons/day) | Efficiency Ratio (vs. Manual Sprayer) |
|---|---|---|---|
| 3WF-3 Motorized Sprayer | 1.67 | 1 | 5 |
| 20L Ultra-low Capacity Sprayer | 1.33 | 1 | 4 |
| Type 26 Stretcher Sprayer | 10 | 4 | 7.5 |
| 20L Electric Sprayer | 1 | 1 | 3 |
| T20 Agricultural Drone | 13.3 | 2 | 20 |
| 16L Manual Sprayer | 0.33 | 1 | 1 |
However, the application of agricultural drones in mountain tea gardens is not without drawbacks. The rugged topography, with steep slopes and irregular plots, often necessitates manual flight mode (M-mode), demanding high pilot skill. Obstacles like trees and power lines increase the risk of crashes, leading to potential spray inconsistencies such as overlaps or gaps. From my experience, field accessibility is another hurdle; poor road networks force operators to trek long distances, draining energy and time. Additionally, fragmented land holdings require frequent take-offs and landings, lowering overall efficiency. I’ve computed that agricultural drones achieve 10 mu/hour in tea gardens, compared to 13 mu/hour in paddy fields and 10.6 mu/hour in tobacco, indicating a 25% and 6.25% efficiency drop, respectively. This can be expressed as: $$ \text{Efficiency Loss} = \left(1 – \frac{\text{Tea Garden Efficiency}}{\text{Other Crop Efficiency}}\right) \times 100\% $$ For rice: $$ \left(1 – \frac{10}{13}\right) \times 100\% \approx 23.1\% $$ and for tobacco: $$ \left(1 – \frac{10}{10.6}\right) \times 100\% \approx 5.7\% $$ These figures highlight the need for optimized operational parameters.
| Plant Protection Equipment | Water Consumption (L/mu) | Water Saving (%) | Pesticide Use (mL/mu) | Pesticide Saving (%) |
|---|---|---|---|---|
| Agricultural Drone | 45 | 94 | 930 | 31.8 |
| Manual Sprayer | 750 | 0 | 1365 | 0 |
To maximize the effectiveness of agricultural drones, I have experimented with various settings. For models like DJI T20 and T30, optimal parameters include a spray volume of 4-6 L/mu, flight height of 3-7 meters, speed of 3-6 m/s, and swath width of 3-7 meters, depending on terrain. These adjustments help mitigate challenges like wind drift and ensure uniform deposition. The penetration depth of droplets can be modeled using the equation: $$ D_p = k \cdot \frac{V}{A} $$ where \(D_p\) is penetration depth, \(V\) is spray volume, \(A\) is canopy area, and \(k\) is a constant related to drone wind field. In practice, I’ve found that agricultural drones perform best in early morning or late afternoon to avoid heat-induced evaporation, which aligns with the short operational windows in rainy summers.
Looking ahead, the prospects for agricultural drones in mountain tea gardens are promising. As labor costs rise and environmental regulations tighten, the demand for precision agriculture will grow. I believe that with continued innovation, agricultural drones can become even more adaptable. For instance, integrating AI for real-time pest detection could enable autonomous spraying, further reducing human intervention. Moreover, the development of heavier payload agricultural drones might allow for simultaneous application of fertilizers and biopesticides, enhancing integrated pest management. The economic viability can be assessed using a cost-benefit analysis formula: $$ \text{Net Benefit} = \text{Yield Increase} + \text{Cost Savings} – \text{Investment in Agricultural Drones} $$ where cost savings include reduced labor, water, and pesticide expenses. From my projections, a well-managed agricultural drone service could break even within two to three years, given the scale of tea plantations in regions like Fenggang.
To accelerate adoption, I propose several recommendations. First, mountain tea gardens should undergo mechanization-friendly modifications, such as building access roads and standardizing shade tree layouts, to improve agricultural drone maneuverability. This aligns with national policies promoting hilly area mechanization. Second, sustained demonstration projects are vital. Governments and institutions should fund fly-defense trials to build farmer confidence and refine best practices. Third, local fly-defense organizations need support through subsidies for equipment and training, fostering a robust service ecosystem. Lastly, skill development for operators is crucial; regular workshops on pest identification and drone piloting can enhance service quality. I envision a future where agricultural drones are ubiquitous in tea cultivation, driven by collaborative efforts between policymakers, farmers, and tech providers.
In conclusion, agricultural drones represent a paradigm shift in mountain tea garden management. Their ability to enhance efficiency, reduce resource use, and improve safety makes them indispensable in the face of agricultural modernization. While challenges like terrain and operational skill persist, ongoing advancements in drone technology and supportive policies will likely overcome these hurdles. From my standpoint, the integration of agricultural drones is not just a trend but a necessity for sustainable tea production. As we move forward, continuous research and community engagement will be key to unlocking the full potential of agricultural drones, ensuring that mountain regions can thrive in the era of smart agriculture.
