Smart Agriculture Based On IOT Using Drones: A Survey

Shymaa G. Eladl, Nile Higher Institute for Sciences and Computer Technology, Mansoura, Egypt.Follow
Hanaa Y. ZainEldin, Computer Engineering and Control Systems Department. Faculty of Engineering, Mansoura University, Egypt.
Amira Y. Haikal, Computer Engineering and Control Systems Department. Faculty of Engineering, Mansoura University, Egypt.
Mahmoud M. Saafan, Computer Engineering and Control Systems Department. Faculty of Engineering, Mansoura University, Egypt.

Subject Area

Computer and Control Systems Engineering

Article Type

Review

Abstract

Researchers have studied the potential of unmanned aerial vehicles (UAVs) for real-time visual data acquisition and processing using potent deep learning (DL) algorithms over the past few decades. In this regard, drone use in smart cities has become one of the most common uses for them in recent years. UAVs and the Internet of Things (IoTs) are two popular technologies being used in smart agriculture that are ushering in a new era of agriculture by replacing traditional farming methods. The combination of drones and IoT has the potential to drastically change our lives through real-time data collection and analysis that will enhance life quality and provide a high quality of service (QoS). UAVs can provide farmers with up-to-date information on their fields, enabling them to make informed decisions about the use of farm inputs. In this paper, this review focuses on the use of UAVs in smart agriculture for pest and crop disease management, plant growth monitoring, yield estimation, weed control, fertilization, phenotypic measurement, soil moisture assessment, pesticide use, and nutritional status evaluation to improve productivity and environmental sustainability. Additionally, we outline how UAV technology fits into smart agriculture. The goals of this review were to: (1) assemble information on the application of UAVs in smart agriculture in general in various scenarios; (2) discuss their benefits and limitations in a variety of applications in UAV-based agriculture; (3) cover the key ideas of drone architecture, drone sensors in smart agriculture, drone applications in smart agriculture using remote sensing, and IoT architectures and challenges for smart cities; and (4) offer a survey of all the most recent prior studies on IoT, besides the UAV strategy used in smart agriculture. Therefore, a literature review was conducted utilizing 135 research articles that are relevant to UAV applications in smart agriculture and other general information about how well UAVs can be used in smart agriculture, collected from the research articles mentioned earlier. The study concluded that UAV-based crops can be an effective method for monitoring and management to improve yield and quality and significantly benefit social, economic, and environmental aspects. We conclude that two of the most significant technologies that change conventional farming methods into a new understanding of intelligence are IoT and UAV. However, UAVs should also take into account some of the difficulties in smart agriculture, including high initial costs, regulations, inclement weather, policy, and communication failures.

Keywords

Unmanned Aerial Vehicles, Drone, Internet of Things, Smart City, Smart Agriculture, Precision Agriculture

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.

Recommended Citation

Eladl, Shymaa G.; ZainEldin, Hanaa Y.; Haikal, Amira Y.; and Saafan, Mahmoud M. (2024) "Smart Agriculture Based On IOT Using Drones: A Survey," Mansoura Engineering Journal: Vol. 49 : Iss. 4 , Article 10.
Available at: https://doi.org/10.58491/2735-4202.3211

Download