Drone Implementation in Precision Agriculture – A Survey

The article deals with the issue of economic efficiency of the use of drones in agricultural production. There is an opinion about their inefficiency, which is refuted by the study. The purpose of the study is to determine the effectiveness of the use of agricultural drones (using the example of U-30L-6 (BROUAV) in comparison with other technological options. The use of agricultural drones allows not only to reduce the cost of manufactured products, but also to increase crop yields by reducing losses during cultivation, as the number of passes of wheeled vehicles across the field during the growing season is reduced. Among the options considered (trailed sprayer, self-propelled sprayer, agrodrone), the use of copters took the second place in terms of production costs. But due to a decrease in the spraying rate and losses from trampling, the economic effect of using agricultural drones is the highest (3417.34 rubles/ha), which is more than twice as high as when using a self-propelled sprayer.

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“…The sprayer introduces chemicals pointwise. The consumption of expensive drugs, as well as fertilizers, is reduced by 25-35% [20][21][22][23].…”

Section: Resultsmentioning

confidence: 99%

Efficiency of using drones in agricultural production

et al. 2023

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“…The techniques employed in the monitoring of cattle using drones and the challenges involved are considered in Alanezi et al (2022) where a strong case was presented for the application of drone systems for the detection and counting of cattle over extensive properties with much interest from animal husbandry. Conclusively, drone applications in animal farming keep expanding geometrically especially in the feedlot operations for monitoring livestock production and activities (Bello et al, 2021b;Ghazali et al, 2022) so much so that its applications are spreading with no barrier for industrial benefits.…”

Section: Discussionmentioning

confidence: 99%

Mask YOLOv7-Based Drone Vision System for Automated Cattle Detection and Counting

Bello,

Oladipo

2024

AIA

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Conventional method of counting animals is one of the most challenging tasks in livestock management; moreover, counting of animals in drone acquired imagery though promising, is more challenging in intelligent livestock management. In this paper, we apply state-of-the-art object detection model, Mask YOLOv7, for detection and counting of cattle in different scenarios such as in controlled (feedlot) environment and uncontrolled (open-range) environment. Mask mechanism was embedded into the backbone of the YOLOv7 algorithm (Mask YOLOv7) for instance segmentation of individual cattle object. We evaluate the performance of the model proposed in this study using IoU (Intersection over Union) threshold of 0.5, average precision (AP) and mean average precision (mAP). The results of the experiment conducted in this study show that the proposed model achieves an accuracy of 93% in counting cattle in controlled environment and 95% in uncontrolled environment. These results affirm the potential of the model, Mask YOLOv7, to perform competitively with any other existing object detection and instance segmentation models in terms of accuracy and average precision especially when the speed of object detection matters. Moreover, the research has potential applications in livestock inventory which helps in tracking, monitoring and reporting vital information about individual cattle.

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“…Aerial Mapping and Surveying. Drones generate accurate and up-to-date aerial maps of fields [ 104 , 106 ]. This mapping assists farmers in assessing the topography, soil composition, and drainage patterns.…”

Section: Applications Of Copter Dronesmentioning

confidence: 99%

A Review on the State of the Art in Copter Drones and Flight Control Systems

Peksa,

Mamchur

2024

Sensors

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This paper presents an overview on the state of the art in copter drones and their components. It starts by providing an introduction to unmanned aerial vehicles in general, describing their main types, and then shifts its focus mostly to multirotor drones as the most attractive for individual and research use. This paper analyzes various multirotor drone types, their construction, typical areas of implementation, and technology used underneath their construction. Finally, it looks at current challenges and future directions in drone system development, emerging technologies, and future research topics in the area. This paper concludes by highlighting some key challenges that need to be addressed before widespread adoption of drone technologies in everyday life can occur. By summarizing an up-to-date survey on the state of the art in copter drone technology, this paper will provide valuable insights into where this field is heading in terms of progress and innovation.

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Drone Implementation in Precision Agriculture – A Survey

Cited by 19 publications

References 0 publications

Efficiency of using drones in agricultural production

Efficiency of using drones in agricultural production

Mask YOLOv7-Based Drone Vision System for Automated Cattle Detection and Counting

A Review on the State of the Art in Copter Drones and Flight Control Systems

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