Use Of Drone Technology Research Articles

Drone Technology for Precision Agriculture: Advancements and Optimization Strategies

This paper delves into the development and optimization of an intelligent agricultural monitoring system that makes use of drone technology to enhance agricultural productivity and sustainability. With the world's population on the rise and the scarcity of arable land, precision agriculture becomes essential in guaranteeing food security. By harnessing state-of-the-art sensors and imaging technologies, drone technology offers a new and innovative approach to agricultural monitoring. Efficiently collecting vital data on vegetation indices, soil moisture, and crop health. This study seeks to create a state-of-the-art drone-based monitoring system that uses advanced machine learning algorithms and data processing technologies to analyze agricultural data with exceptional precision. It explores the most efficient methods for operating drones, including flight planning and data collection protocols, with the aim of creating a comprehensive agricultural monitoring system. This platform provides the convenience of automating monitoring processes, leading to lower labor costs, improved resource allocation, and a beneficial impact on agricultural modernization. The article delves into the effects of the latest developments in drone technology and the subsequent decrease in costs on the agriculture industry worldwide. It highlights the ways in which these advancements are transforming conventional farming methods.

Lidar DEM and Computational Mesh Grid Resolutions Modify Roughness in 2D Hydrodynamic Models

AbstractTopography and the computational mesh grid are fundamental inputs to all two‐dimensional (2D) hydrodynamic models, however their resolutions are often arbitrarily selected based on data availability. With the increasing use of drone technology, the end user can collect topographic data down to centimeter‐scale resolution. With this advancement comes the responsibility of choosing a resolution. In this study, we investigated how the choice of mesh grid and digital elevation model (DEM) resolutions affect 2D hydrodynamic modeling results, specifically water depths, velocities, and inundation extent. We made pairwise comparisons between simulations from a 2D HEC‐RAS model with varying mesh grid resolutions (1 and 2 m) and drone‐based lidar DEM resolutions (0.1, 0.25, 0.5, 1, and 2 m) over a 1.5 km reach of Stroubles Creek in Blacksburg, Virginia. The model was rerun for up to ±4% change in floodplain roughness to determine how the DEM and mesh grid changes relate to an equivalent change in roughness. We found that the modeled differences from resolution change were equivalent to altering floodplain roughness by up to 12% for depths and 44% for velocities. The largest differences in velocity were concentrated at the channel‐floodplain interface, whereas differences in depth occurred laterally throughout the floodplain and were not correlated with lidar ground point density. We also found that the inundation boundary is dependent on the DEM resolution. Our results suggest that modelers should carefully consider what resolution best represents the terrain while also resolving important riparian topographic features.

The prospects for the use of drone technology in the avian ecology research in Indonesia

The prospects for the use of drone technology in the avian ecology research in Indonesia

Video analysis of bicyclist and pedestrian movement on shared-use paths under daylight and electric lighting conditions—Method exploration

This study introduces a progressive methodology for examining the travel behaviour of bicyclists and pedestrians under both daylight and electric lighting conditions. By analysing data from naturalistic/undisturbed settings, we aimed to assess the representativeness of participant behaviour in an invited context compared to that of typical road users. This paper expands upon the methodological exploration initiated in the original Video Analysis of Pedestrian Movement (VAPM) study by analysing the microscopic movements of both pedestrians and bicyclists in outdoor environments under both natural and electric lighting conditions. Furthermore, the paper investigates bicyclists’ bi-directional interactions in a naturalistic setting, adding a valuable dimension to the study's comprehensive analysis. Our research introduces an effective approach to data collection through the use of drone technology to obtain microscopic data from video analysis. This method has the potential to enhance travel quality for bicyclists during the hours of twilight and darkness and increase the likelihood of short motor vehicle trips being replaced by active, sustainable forms of transport.

REVIEW OF THE USE OF DRONES AND NON-METRIC CAMERAS FOR THE PROVISION OF LARGE-SCALE GEOSPATIAL DATA ACCORDING TO BIG REGULATION NO. 1 OF 2020

Currently, the need for large-scale mapping for the entire territory of Indonesia is urgent. Therefore, accelerating the provision of large-scale Geospatial Data (DG) is essential for better spatial planning and regional development. The use of drone technology with non-metric cameras is starting to be used for the provision of large-scale DG. To regulate the use of drones and non-metric cameras, the Geospatial Information Agency issued the Head of Geospatial Information Agency Regulation No. 1 of 2020. The purpose of this paper will review the use of drones with non-metric cameras that have been regulated in the agency's regulations. The method used in this paper uses qualitative research with a data collection strategy or source using the literature method. The results show that the use of direct georeferencing in BIG Regulation No. 1 of 2020 has fulfilled the horizontal and vertical geometry accuracy requirements stipulated in BIG Head Regulation No. 6 of 2018 on Base Map Accuracy. The GSD value requirement in BIG Regulation No 1/2020 is too high compared to the GSD value requirement specified in the ASPRS Accuracy Standards for Digital Geospatial Data. This agency regulation is a standard / reference that must be met for all mapping industry players. Therefore, the implementation of this agency regulation requires further study to truly support the issue of accelerating large-scale mapping.

Applications of Drone and Unmanned Aerial Vehicle (UAV) Surveying for Planning For Cities

Abstract: The field of town planning is one of the many areas in city life where Unmanned Aerial Vehicles (UAVs) and drones could find use. When compared to traditional surveying options, drones may offer planners a more accurate, precise, flexible, and economical means of obtaining information. Unfortunately, current Indian government restrictions around the use of drones, particularly in the town planning sector, are vague and prioritize safety above advancing technology toward a system that is more efficient. To maximize the public benefit from the use of drone technology in town planning, town planners and surveyors require flexible, practical drone regulations that address the numerous concerns surrounding the use of UAVs in urban areas. This research discusses the present applications of UAVs in many areas of urban planning.

Use of drone technology in animal health and management

In recent years, drone technology has become an important tool in animal health and management. In this study, the use of drone technology in animal health and management is analyzed and prominent applications are discussed. Drones have been observed to be useful in various fields such as monitoring the health status of animals, early diagnosis of diseases, monitoring grazing areas, search and rescue, animal census and inventory management. However, some challenges and limitations still need to be overcome for the effective application of drone technology. In conclusion, although the positive effects of drone technology on animal health and management are evident, further steps are needed to expand the application areas and to fully utilize the potential of the technology.

Scientific use of drone technology for better farming

Scientific use of drone technology for better farming

Autonomous Quadcopter for Surveillance

The use of drone technology is becoming increasingly popular. Finding applications, across various industries. In agriculture drones are employed for tasks such as applying pesticides and fertilizers monitoring crops and creating maps. The construction sector utilizes drones to inspect job sites and track progress. Additionally, the film industry benefits from photography using drones while search and rescue operations rely on them to reach areas. Overall drone technology has the potential to revolutionize industries by offering solutions to previously challenging problems. We propose the development of an AI based autonomous drone system that can be deployed in areas for applications including surveillance and warehouse management. This system incorporates a PI CAM V2 camera mounted on a quadcopter equipped with GPS technology. The drone operates autonomously without the need for a pilot thanks to software, like Robot Operating System (ROS) other cutting-edge technologies

Advancements in Building Deconstruction: Examining the Role of Drone Technology and Building Information Modelling

Deconstructing a building with the help of drones and BIM (building information modelling) is becoming increasingly common as a more efficient, eco-friendly, and affordable alternative to the traditional techniques of building disassembly. This paper presents a systematic review following the methodology of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to investigate the role of drone technology and BIM in building deconstruction. A total of 10 studies were identified based on the integration of drone technology with BIM, all of which proved promising in enhancing the process of building deconstruction. The analysis of the 35 and 3 non-academic selected data reveals several key findings. Firstly, BIM is not commonly used in deconstruction or demolition processes, particularly in managing fixtures and fittings of buildings. Secondly, the adoption of deconstruction-oriented design methods and the use of drone technology can significantly reduce the negative environmental impacts of building demolition waste. Lastly, the limited implementation of design for deconstruction practices in the construction industry hinders the realisation of environmental, social, and economic benefits associated with this approach. Overall, this systematic review highlights the potential of drone technology and BIM in improving building deconstruction practices, while also identifying knowledge gaps and areas for further research and development on this topic.

Investigating the use of Drone Technology for Effective Project Management

This study investigates the pivotal role of drones in enhancing project management within the construction industry, focusing on their applications and impact. The study addresses the prevalent productivity and efficiency challenges in the construction sector. Key areas of inquiry encompass the utilization of drones for aerial surveys, real-time data collection, and safety enhancement in construction projects. The study aspires to furnish comprehensive insights into the benefits, challenges, and best practices associated with the integration of drone technology. Adopting a mixed-methods approach, the study combines a thorough ten-year retrospective analysis from 2013 to 2023 with quantitative data collected through surveys distributed to construction companies and professionals involved in project management. Additionally, qualitative data is obtained through interviews with key stakeholders to explore factors influencing the use of drones for effective project management in construction. The findings of this study show drone technology improves site surveying and mapping, enhances progress monitoring and documentation, quality control and defect detection, enables safety monitoring and risk management but it also faces adoption challenges. The conclusion underscores the potential of drones to enhance cost efficiency, time savings, quality, and safety in construction projects. Recommendations advocate for strategic investments in drone technology by construction companies, the establishment of standardized procedures and protocols for its use, provision of comprehensive training programs, development of project management professionals' skills, and collaborative efforts with stakeholders. These recommendations collectively contribute to the optimized incorporation of drones into project management practices within the construction sector.

Enhancing Targeted Operations Through Drone Technology: Maximising Efficacy and Minimising Risk

The article meticulously examines the strategic use of drone technology in targeted operations, with a strong focus on operational efficiency and technological advancements within established legal frameworks, including cyberlaw regulations. It discusses how technology can enhance mission effectiveness, mitigate risks, and ensure compliance with ethical and legal standards, particularly in targeted killings. Starting with recent advancements in drone data processing, sensor technology, and flight capabilities, the analysis emphasises the importance of adhering to cyberlaw regulations governing data privacy, cybersecurity, and ethical use in warfare. These advancements have revolutionised targeted killings, enabling more precise targeting, enhanced surveillance capabilities, and improved situational awareness. Additionally, the study addresses logistical challenges, mission planning intricacies, integration with military systems, and other operational considerations associated with drone deployment. It explores innovative strategies for overcoming these challenges through computational methods and advanced technology, demonstrating how organisations can optimise efficiency and achieve strategic objectives with drone technology. The article emphasises the significance of best practices in data analysis, mission execution, and decision-making processes to enhance mission success rates. Ultimately, it underscores the vital role of technology in maximising operational efficiency while minimising human risk, highlighting the importance of technological strategies and operational effectiveness in warfare scenarios.

Study on The Applicability of Drones in The Process of Forming Towers of 500KV Transmission and Substation Lines in Highland Areas

With the continuous development of science and technology in China, China's aviation field has also been expanding, the rapid development of aviation technology, China has gradually achieved leapfrog development in UAV equipment, and gradually tends to civilization, practicality and commercialization. At present, more and more UAVs are not only opening up in the domestic market, but also have flowed to overseas markets, and the modern advanced technology represented by UAVs has gradually become the current trend development trend. In the field of electric power engineering construction, the use of drone technology is short and wide, and there are drones in both high-altitude areas and plain areas. In terms of the engineering field, the UAV technology involves the construction, monitoring and management of power grids, fault and equipment maintenance of power grids and transmission line inspection, etc.

Efficient solid waste inspection through drone‐based aerial imagery and TinyML vision model

AbstractSolid waste management is a significant challenge in the development of smart cities. Existing approaches for solid waste monitoring are often time‐consuming and resource intensive. Therefore, this study proposes a novel approach to solid waste monitoring that utilizes drone technology. The proposed method enables the efficient identification and classification of waste objects in the garbage discovered by the drone. This system can inspect every part of a smart city from a remote location, allowing for the timely and effective management of solid waste. Thus, the proposed system can be easily integrated in the existing waste management system for smart city. The drone‐based solid waste monitoring system comprises a drone equipped with a computer vision model for resource‐constrained devices and a software application that operates the drone and analyzes the captured image or video. The system utilizes the Internet of Things (IoT) to upload the collected data to the cloud, making it easily accessible whenever necessary. The proposed drone‐based solid waste monitoring system is a promising solution for the efficient and cost‐effective management of solid waste in smart cities. The system's innovative use of drone technology and IoT provides a scalable and adaptable solution that can be customized to meet the needs of any city.

FARM AUTOMATION IN PADDY PLANTATION: CASE OF KEDAH

Today’s paddy cultivation is more advanced and efficient than in the past. Various advanced technologies used by paddy operators to ensure the paddy plantation process become efficient and provide high quality. The purpose of this study was to investigate the application of current technology in paddy plantation and explore the management of drones in paddy plantations in Kedah. In this sense, a 9,425 km2 region surrounding Kedah was chosen as the study area. Kedah is among the states with the most paddy crops in Malaysia. The questionnaire was distributed among the farmers in Kedah to gather statistics and information on how they manage their paddy plantation. In gathering correct information about the use of drone technology and the energy required for rice farming, drone service providers were also contacted and interviewed. The results of this study demonstrated that the process of planting rice involves highly automated technologies. It also revealed that farmers in Kedah were using mechanisation technology effectively. The government should make aggressive efforts to improve the role of mechanised technology to assist in achieving the nation's rice supply targets.

"Are we in this together?": embedding social identity detection in drones improves emergency coordination.

Autonomous systems, such as drones, are critical for emergency mitigation, management, and recovery. They provide situational awareness and deliver communication services which effectively guide emergency responders' decision making. This combination of technology and people comprises a socio-technical system. Yet, focusing on the use of drone technology as a solely operational tool, underplays its potential to enhance coordination between the different agents involved in mass emergencies, both human and non-human. This paper proposes a new methodological approach that capitalizes on social identity principles to enable this coordination in an evacuation operation. In the proposed approach, an adaptive drone uses sensor data to infer the group membership of the survivors it encounters during the operation. A corpus of 200 interactions of survivors' talk during real-life emergencies was computationally classified as being indicative of a shared identity or personal/no identity. This classification model, then, informed a game-theoretic model of human-robot interactions. Bayesian Nash Equilibrium analysis determined the predicted behavior for the human agent and the strategy that the drone needs to adopt to help with survivor evacuation. Using linguistic and synthetic data, we show that the identity-adaptive architecture outperformed two non-adaptive architectures in the number of successful evacuations. The identity-adaptive drone can infer which victims are likely to be helped by survivors and where help from emergency teams is needed. This facilitates effective coordination and adaptive performance. This study shows decision-making can be an emergent capacity that arises from the interactions of both human and non-human agents in a socio-technical system.

Thermal Drone Technology Used to Capture Thermoregulation in Wild Sumatran Elephants

Drone technology plays a critical role in supporting conservation efforts for endangered species, not only in terms of species monitoring within various landscapes, but also potentially when applied to behavioral studies to investigate interaction patterns and response to environmental change. We tested a thermal drone to investigate thermoregulation and surface temperature of wild Sumatran elephants in the lowland tropical forest of Jambi, Indonesia. Thermoregulation data was obtained using RGB images and videos, while temperature values were measured from thermal images (R-JPEG) extracted into TIFF equipped with pixel temperature. We detected a visual thermoregulation mechanism known as mud bathing. Our study demonstrated that the trunk functions to draw mud and throw it onto the head, back, and stomach, the tail functions to distribute the mud to all parts of the back of the body, while the ears flapped to keep head temperature cool. Our measurements showed that the surface temperature of Sumatran elephants is between 28.9-30.3°C. The head had a relatively lower temperature than other body parts. This study also revealed that the environmental humidity variable significantly affects the elephant's temperature rise. The use of drone technology for future behavioral studies is recommended as it accurately provides high quality data and can be widely used in any type of terrain.

AI & ML Powered Autonomous Drone System

The use of drone technology is growing in popularity and has many different industrial uses. Drones are used in agriculture for pesticide and fertilizer application, crop monitoring, and mapping. Drones can be used in the building sector to check job sites and track development. In the movie industry, drones are also utilized for aerial photography and in search and rescue efforts to reach inaccessible places. In general, drone technology has the potential to revolutionize a variety of industries and offer fresh approaches to problems that were previously challenging to solve. Our idea is to develop AI ML based autonomous drone system that can be deployed in many areas for multiple applications such as surveillance, warehouse management etc. The layout includes a PI-CAM V2 camera on a quadcopter using GPS and system powered by Robot Operating System, Open CV and other technologies that gives ability to drone to fly without need of pilot autonomously. Key Word: Multipurpose, Robot Operating System, Simulation, Surveillance, Tracking, Quadcopter, OpenCV, Machine Learning, Object Detection.

Optimum Flight Height for the Control of Desert Locusts Using Unmanned Aerial Vehicles (UAV)

Desert locust is one of the most destructive migratory pest in the world. Current methods of control rely on conventional chemical insecticides during invasion. Some environmentally friendly biopesticides based on Metarhizium acridum and insect growth regulators have also been deployed in preventive control operations. They have been tested in sprayers mounted on commonly used platforms such as vehicles, aircraft, and human. However, despite being used successfully, these tools present many challenges, hence the need to supplement them with suitable alternatives. The successful use of drones to control pests such as fall armyworm, planthoppers, aphids, among others, makes it an attractive technology that has the potential to improve locust management, especially in inaccessible areas. However, key parameters for the safe and optimal use of drones in desert locust control are not documented. This study established the key parameters for spraying desert locusts with a drone. To test the optimum height for spraying Metarhizium acridum on the locusts, the drone was flown at five different heights: 2.5, 5, 7.5, 10, and 12.5 m. At each height, the drone sprayed the ink mixture on spray cards pinned to the ground to approximate the droplet density and compare it to the standard droplet density recommended for desert locust control. To assess the efficacy of M. acridum and the effectiveness of drones in its application, 50 g of spores were mixed in 1 L of diesel and sprayed on caged live locusts of different stages (3rd and 4th instars, as well as the adults); they were monitored for twenty-one days in a controlled room, and their mortality was determined. Variation in droplet density between the tested heights was significant. A height of 10 m agrees with the recommended standard droplet density within the 45 droplets/cm2 range. Mortality varied among the locusts’ developmental stages within and between heights. Survival probability varied between heights for 3rd instar, 4th instar, and adults. All the developmental stages of the desert locust were susceptible to Novacrid and the recommended target stage is the 3rd instar. Management of desert locusts by the use of drone technology appears promising when the pesticides are applied at an optimum height and standard operating procedures are followed. Further research could explore the gap in the effects of environmental parameters on flight application efficiency.

Green Warehouse Practice: Critical issues in drone technology adoption

Businesses are being revolutionised by drones, which are now used in a variety of sectors, including warehouse operations. Drones are portable, highly manoeuvrable, and have both indoor and outdoor flight capabilities. Drones assist in streamlining the overall inventory management process for monitoring and inspection in support of green warehousing practices (GWP). Although the use of drone technology is rapidly expanding and is trending upward, relatively few studies on the subject have been published and there is a great need for scholarly study in this field. Thus, this study aims to identify several issues faced by warehouse operators.