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Harnessing Drone Technology for Enhanced Crop Protection

Agriculture plays a pivotal role in sustaining human life and the global economy. However, agricultural productivity is threatened by various factors, including climate change, pests, diseases, and limited resources. Addressing these challenges requires innovative solutions that improve efficiency, reduce losses, and minimize environmental impacts. Among these innovations, drone technology has emerged as a promising tool for crop protection.

Utility of Drones in crop protection 

In recent years, drone technology has emerged as a transformative tool in agriculture, offering novel approaches to crop protection. Drones, also known as unmanned aerial vehicles, possess an array of benefits including high efficiency, reduced labour requirement, reduced loss of pesticides to the environment, vast area coverage, etc. In recent years, the use of drones in various industries has grown exponentially, and agriculture is no exception (Fikri et al., 2023). 

Drones have proven to be adaptable and cross-disciplinary tools that can revolutionize the way crops are protected. By incorporating drones into crop protection practices, farmers and agricultural professionals can gain valuable insights and improve efficiency in monitoring and treating their fields. Sprayer drones, in particular, have emerged as a game-changer in agricultural practices (Klauser & Pauschinger, 2021). These drones are not only relevant for agricultural processes, but also offer novel and commercialized ways to protect crops. Furthermore, drones can easily access edges and muddy areas in rice paddies that cannot easily be accessed on foot and without causing damage to the rice crop (Fikri et al., 2023). Moreover, the use of drones in crop protection provides more accurate and precise spraying, eliminating the risks of uneven application rates and varying walking speeds associated with manual spraying. 

The use of drones in crop protection offers several advantages over traditional methods. 

  • Drones equipped with infrared cameras can provide farmers with real-time data on crop health, allowing for early detection of potential issues such as pests, diseases, or nutrient deficiencies. This proactive approach enables farmers to take targeted and timely action to protect their crops, ultimately leading to higher yields and reduced environmental impact.
  • The use of drones in crop protection can significantly reduce the amount of pesticides and water needed for treating fields. By precisely targeting areas in need of treatment, farmers can minimize the overall use of chemicals while still effectively safeguarding their crops. This not only leads to cost savings but also contributes to sustainable agricultural practices.
  • The data collected by drones can be used to create detailed maps of farms, providing farmers with valuable insights into crop growth patterns and the effectiveness of different treatments. This information can inform future decision-making and help optimize resource allocation, coverage, saving energy and time. 

In summary the following are the envisaged advantages.

  • Enhanced Efficiency and Accuracy : Drones enable rapid and precise data collection over large agricultural areas, surpassing the capabilities of manual scouting and satellite imagery. This efficiency enhances decision-making processes and enables timely responses to emerging threats, ultimately improving crop yields and profitability.
  • Cost-Effectiveness : While initial investments in drone technology may seem substantial, the long-term benefits outweigh the costs for many farmers. By reducing labor requirements, optimizing input usage, and preventing yield losses, drones offer a compelling return on investment and contribute to the economic sustainability of farming operations.
  • Environmental Sustainability : By minimizing chemical inputs and adopting targeted management practices, drone technology supports environmentally friendly agriculture. Reduced pesticide usage mitigates the risk of ecological harm and promotes biodiversity conservation, aligning with sustainable farming principles and regulatory requirements.

Factors affecting the efficiency of drone usage for plant protection

  • The efficiency of a drone depends on the factors such as droplet size, wind speed, flight speed, and altitude.
  • Meteorological elements such as wind speed, temperature, and humidity can impact the effectiveness of pesticide sprays in real field conditions (Subramanain et al., 2021).
  • Lv et al. (2019) investigated the effectiveness of drones in a controlled setting to mitigate external influences and evaluate how drone flight speed affects droplet characteristics such as size, shape, distribution, and uniformity. Among these distribution of droplets and droplet size stand out as a pivotal criterion for successful input delivery.
  • Dispensing Droplets : A crucial aspect to consider for the efficacy of drone-facilitated spraying is droplet distribution. The metrics utilized for evaluating droplet distribution efficacy encompass density, surface coverage, arithmetic mean of droplet size, and coefficient of variation (Zhu et al., 2011).
    • Droplet density refers to the quantity of droplets deposited per unit area, often assessed via blotting paper.
    • Surface coverage measures the total area covered by all deposited droplet particles per unit area.
    • The arithmetic mean droplet size represents the average diameter of all droplets within a single spray sample.
    • The coefficient of variation (CV) indicates the uniformity of droplet distribution during an aerial spraying operation. When the coefficient of variation (CV) is lower, the distribution tends to be more uniform, ensuring that the spray effectively covers the target area and enhances the efficacy of the pesticides.
  • Droplet drift : When spraying is conducted using drones, a fraction of the dosage may fail to reach the intended area, commonly known as droplet drift or spray drift. To mitigate this drift and minimize pesticide wastage, a standardized operational protocol for drone-assisted pesticide spraying incorporates optimal meteorological parameters. Based on research, it has been determined that maintaining an optimal flight height of 1.5–2.0 meters and a flight speed of 5 meters per second, in conjunction with a wind speed below 5 km/h, is conducive to efficient pesticide application via drones. Furthermore, studies investigating the relationship between the coefficient of variation (CV) of droplet distribution and UAV flight heights in cotton crops have confirmed that flying at a height of 2 meters yields superior results compared to flying at 1.5 meters (Subramanain et al., 2021).

Applications of Drone technology in crop protection                   

  1. Aerial Surveillance : Drones equipped with high-resolution cameras and multispectral sensors enable farmers to conduct aerial surveys of their fields with unprecedented detail and efficiency. These surveys facilitate early detection of pests, diseases, nutrient deficiencies, and other stressors, allowing for timely intervention.
  2. Precision Application of Inputs : By integrating drones with precision agriculture technologies, farmers can precisely apply pesticides, herbicides, fertilizers, and other inputs based on real-time field data. This targeted approach minimizes chemical usage, reduces environmental pollution, and optimizes resource utilization.
  3. Pest Detection and Management : Drones equipped with specialized sensors, such as LIDAR and infrared cameras, can detect pests and their damage more accurately than traditional scouting methods. This early detection enables proactive pest management strategies, including localized interventions and targeted pesticide applications, minimizing crop losses and reducing reliance on broad-spectrum chemicals.

Challenges and Limitations 

  • Technical Complexity : Operating drones and analyzing the vast amount of data they generate require specialized skills and expertise. Many farmers may lack the technical knowledge or resources to effectively utilize drone technology, highlighting the need for training programs and user-friendly solutions.
  • Data Integration and Interpretation : Integrating drone-derived data with existing farm management systems can be challenging, particularly for small-scale farmers with limited access to digital tools. Moreover, interpreting complex remote sensing data requires advanced analytical capabilities and may pose barriers to adoption for some users.
  • Regulatory Hurdles : Despite the potential benefits, widespread adoption of drone technology in agriculture faces regulatory challenges related to airspace regulations, privacy concerns, and certification requirements. Clear guidelines and streamlined approval processes are necessary to facilitate the integration of drones into agricultural practices.

Future Directions and Outlook 

Despite existing challenges, the future of drone technology in crop protection appears promising. Continued advancements in sensor technology, artificial intelligence, and autonomous navigation will further enhance the capabilities of agricultural drones

Conclusion

Drone technology has emerged as a transformative tool in the realm of crop protection, offering innovative solutions to the challenges faced by modern agriculture. Through aerial surveillance, precision application of inputs, monitoring of crop health, and effective pest management, drones provide farmers with unprecedented capabilities to enhance productivity, reduce losses, and promote sustainability. The benefits of drone technology in crop protection are evident in its ability to enhance efficiency, reduce costs, and minimize environmental impact. However, challenges such as regulatory hurdles, technical complexity, and data integration remain significant barriers to widespread adoption. Nevertheless, with continued advancements in technology and concerted efforts to address these challenges, the future of drone technology in crop protection appears promising.

References

  • Lou, Z., Xin, F., Han, X., Lan, Y., Duan, T., and Fu, W. (2018). Effect ofunmanned aerial vehicle flight height on droplet distribution, drift and controlof cotton aphids and spider mites. Agronomy 8:187. doi: 10.3390/agronomy8090187.
  • Subramanian, K. S., Pazhanivelan, S., Srinivasan, G., Santhi, R., & Sathiah, N. (2021). Drones in insect pest management. Frontiers in Agronomy, 3, 640885.
  • Fikri, M R., Candra, T., Saptaji, K., Noviarini, A N., & Wardani, D A. (2023, January 1). A review of Implementation and Challenges of Unmanned Aerial Vehicles for Spraying Applications and Crop Monitoring in Indonesia. Cornell University. https://doi.org/10.48550/arxiv.2301.00379
  • Klauser, F., & Pauschinger, D. (2021, May 1). Entrepreneurs of the air: Sprayer drones as mediators of volumetric agriculture. Elsevier BV, 84, 55-62. https://doi.org/10.1016/j.jrurstud.2021.02.016

Contributors

  1. Pratap A. Divekar, ICAR-Indian Institute of Vegetable Research, Varanasi, Uttar Pradesh, India
  2. Nahida Afreen, ICAR-Indian Institute of Vegetable Research, Varanasi, Uttar Pradesh, India
  3. Suresh Nebapure, ICAR-Indian Agricultural Research Institute, New Delhi, India
  4. Rajna S, ICAR-Indian Agricultural Research Institute, New Delhi, India

Last Modified : 9/5/2024



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