Revisiting the Current Uav Regulations in Nepal: A Step Towards Legal Dimension for Uavs Efficient Application

Shrestha, Ruchi; Zevenbergen, J.A.; Panday, Uma Shankar; Awasthi, B.; Karki, S

doi:10.5194/isprs-archives-xlii-5-w3-107-2019

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…A drone-based platform coupled with digital, multispectral, and/or hyperspectral sensors presents a multitude of opportunities and challenges for monitoring, investigating, and mapping cereal crops at the farm level. Some issues like complex drone regulations and unavailability of insurance policy for drones, however, are debatable and actual conditions may differ country by country [19,172]. Similarly, privacy concerns may be relaxed as the agriculture area generally lies in remote places with no nearby settlements.…”

Section: Opportunities and Challengesmentioning

confidence: 99%

A Review on Drone-Based Data Solutions for Cereal Crops

Panday

Pratihast

Aryal

et al. 2020

Drones

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Food security is a longstanding global issue over the last few centuries. Eradicating hunger and all forms of malnutrition by 2030 is still a key challenge. The COVID-19 pandemic has placed additional stress on food production, demand, and supply chain systems; majorly impacting cereal crop producer and importer countries. Short food supply chain based on the production from local farms is less susceptible to travel and export bans and works as a smooth system in the face of these stresses. Local drone-based data solutions can provide an opportunity to address these challenges. This review aims to present a deeper understanding of how the drone-based data solutions can help to combat food insecurity caused due to the pandemic, zoonotic diseases, and other food shocks by enhancing cereal crop productivity of small-scale farming systems in low-income countries. More specifically, the review covers sensing capabilities, promising algorithms, and methods, and added-value of novel machine learning algorithms for local-scale monitoring, biomass and yield estimation, and mapping of them. Finally, we present the opportunities for linking information from citizen science, internet of things (IoT) based on low-cost sensors and drone-based information to satellite data for upscaling crop yield estimation to a larger geographical extent within the Earth Observation umbrella.

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Section: Opportunities and Challengesmentioning

confidence: 99%

A Review on Drone-Based Data Solutions for Cereal Crops

Panday

Pratihast

Aryal

et al. 2020

Drones

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Application of smart systems and emerging technologies for disaster risk reduction and management in Nepal

Dixit,

Chauhan,

Shaw

2024

IJDRBE

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Purpose The purpose of this paper is to explore the application of smart systems and emerging technologies for disaster risk management (DRM) in Nepal. This delves into specific technologies, including advanced connection and communication technologies, AI, big data analytics, autonomous vehicles and advanced robotics, examining their capabilities and potential contributions to DRM. Further, it discusses the possibility of implementing these technologies in Nepal, considering the existing policies and regulations, as well as the challenges that need to be addressed for successful integration. Design/methodology/approach For this review journal series of search strategy for identifying relevant journals, the initial examination of results, a manual assessment, geographical refinement, establishment of criteria for the final selection, quality assessment and data management, along with a discussion of limitations. Before delving into the relevant literature within the field of research interest, the authors identified guiding keywords. Further, the authors refined the list by filtering for articles specifically related to Nepal, resulting in a final selection. The final selection of these 95 articles was based on their direct relevance to the research topics and their specific connection in the context of Nepal. Findings The way technology is used to reduce disaster risk has changed significantly in Nepal over the past few years. Every catastrophe has given us a chance to shift to something innovative. The use of new emerging technologies such as artificial intelligence (AI), big data analytics, autonomous vehicles, advanced robotics and advanced connection and communication technologies are increasing for the purpose of generating risk knowledge, reducing disaster risk and saving the loss of lives and properties. The authors conclude that the successful implementation of smart systems and emerging technologies for disaster risk management in Nepal has the potential to significantly improve the country's resilience and minimize the impact of future disasters. By leveraging data-driven decision-making, enhanced connectivity and automation, Nepal can build a more proactive, adaptive and efficient disaster management ecosystem. Originality/value Studies on the application of smart systems in Nepal are limited and scattered across different database. This work collects together such literatures to understand the current status of the application of the smart system and technologies and highlights the challenges and way forward for effective disaster risk management in Nepal. Therefore, this work is an original one and adds value to the existing literatures.

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Integrating Unmanned Aerial Vehicles in Airspace: A Systematic Review

TUNCAL,

EROL

2024

Journal of Aviation Research

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In this article, a comprehensive review of the integration of Unmanned Aerial Vehicles (UAVs) into shared airspace is presented. The primary objective is to underscore and gain a full understanding of the challenges, issues, and potential solutions related to regulatory frameworks, safety, and coordination. The methodology employed is a systematic review approach, which ensures the reliability and efficacy of the selected literature. The findings underscore the significance of various components, including multi-layered airspace models, path planning, secure communication networks, Conflict Detection and Resolution (CDR), and regulatory measures, in augmenting the safety of UAV integration. Additionally, the article explores the utilization of Reinforcement Learning (RL) and Human-in-the-loop Reinforcement Learning (HRL) algorithms as promising techniques for instructing UAVs to navigate complex environments and adapt to changing circumstances. The study emphasizes the importance of collaboration among all stakeholders, the support of technology development, and the need for continuous research.

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Revisiting the Current Uav Regulations in Nepal: A Step Towards Legal Dimension for Uavs Efficient Application

Cited by 3 publications

References 7 publications

A Review on Drone-Based Data Solutions for Cereal Crops

A Review on Drone-Based Data Solutions for Cereal Crops

Application of smart systems and emerging technologies for disaster risk reduction and management in Nepal

Integrating Unmanned Aerial Vehicles in Airspace: A Systematic Review

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