Drone imagery to create a common understanding of landscapes

Kleinschroth, Fritz; Banda, Kawawa; Zimba, Henry; Dondeyne, Stefaan; Nyambe, Imasiku; Spratley, Simon; Winton, R. Scott

doi:10.1016/j.landurbplan.2022.104571

Cited by 19 publications

(7 citation statements)

References 55 publications

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“…The availability of digitalization standards and regulation for pre-construction management [11,111,112] P03 Technology P03.01 Using machine learning during preconstruction [108,113] P03.02 Implementation for 3D mapping for BIM modeling [114,115] P03.03 Using blockchain technology with the organization's cloud system [116][117][118] P03.04 Utilization of drones for site surveying [119,120] P03.05…”

Section: Groups and Factors Referencesmentioning

confidence: 99%

Assessing the Digital Transformation Readiness of the Construction Industry Utilizing the Delphi Method

Naji,

Gunduz,

Alhenzab

et al. 2024

Buildings

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The rapid advancement of digital technology has enabled digital transformation across various sectors, including construction. The construction industry has long been associated with conventional, labor-intensive practices that can adversely influence the entire construction process. However, this culture is changing as key players in the sector are progressively identifying and embracing the vast opportunities and associated benefits of using digital tools and technologies to improve the performance and outcomes of the overall project lifecycle. To this end, this study uses the Delphi technique to identify 70 factors that contribute to the digital transformation of the construction industry, categorizing them into five groups: management, design, technology, policy, and infrastructure. Delphi analysis is used to examine the critical success factors for digital transformation identified in the literature and rate their importance during the preconstruction, construction, and facility management phases. Furthermore, this research results in the introduction of the Digital Transformation Level of Readiness Framework (DTRLF) to help facility management firms, clients, organizations, contractors, and designers comprehend the implementation of digital transformation within their respective domains and support decision-makers in establishing action to adapt related technologies in their respected project phases.

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Section: Groups and Factors Referencesmentioning

confidence: 99%

Assessing the Digital Transformation Readiness of the Construction Industry Utilizing the Delphi Method

Naji,

Gunduz,

Alhenzab

et al. 2024

Buildings

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“…Journal TCs TC Per Year Normalized TC [42] Remote Sensing 15 2.14 1 European Journal of Agronomy 1 1 0.5 [56] Landscape and Urban Planning 0 0 0 [57] Remote Sensing 0 0 0…”

Section: Authormentioning

confidence: 99%

Crop Monitoring in Smallholder Farms Using Unmanned Aerial Vehicles to Facilitate Precision Agriculture Practices: A Scoping Review and Bibliometric Analysis

et al. 2023

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In this study, we conducted a scoping review and bibliometric analysis to evaluate the state-of-the-art regarding actual applications of unmanned aerial vehicle (UAV) technologies to guide precision agriculture (PA) practices within smallholder farms. UAVs have emerged as one of the most promising tools to monitor crops and guide PA practices to improve agricultural productivity and promote the sustainable and optimal use of critical resources. However, there is a need to understand how and for what purposes these technologies are being applied within smallholder farms. Using Biblioshiny and VOSviewer, 23 peer-reviewed articles from Scopus and Web of Science were analyzed to acquire a greater perspective on this emerging topical research focus area. The results of these investigations revealed that UAVs have largely been used for monitoring crop growth and development, guiding fertilizer management, and crop mapping but also have the potential to facilitate other PA practices. Several factors may moderate the potential of these technologies. However, due to continuous technological advancements and reductions in ownership and operational costs, there remains much cause for optimism regarding future applications of UAVs and associated technologies to inform policy, planning, and operational decision-making.

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“…Вона описує методи, що використовуються для збору даних про рослинність і ґрунт, а також розробку алгоритмів для їх аналізу. В інших роботах [5] автори описують процес моніторингу, який включає фото-та відеозйомку з БПЛА, а також обробку даних за допомогою комп'ютерного зору та машинного навчання для виявлення хвороб і шкідників на рослинах.…”

Section: аналіз останніх досліджень і публікаційunclassified

“…Також розглядається використання дронів для збору та аналізу ландшафтних зображень у контексті прийняття рішень щодо землекористування. Автори статті зазначають, що використання безпілотників дає змогу отримувати якісні зображення та дані про земельні ресурси у більш швидкому та доступному форматі, що може покращити прийняття рішень у різних галузях, таких як сільське, лісове та інші середовища [5]. Дослідники розглядають можливість використання малих дронів для дистанційного зондування стихійних лих і пов'язаних з ними катастроф.…”

Section: аналіз останніх досліджень і публікаційunclassified

Generalized Approach for Object Selective Search in Images

et al. 2023

mpom25

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Drone imagery to create a common understanding of landscapes

Cited by 19 publications

References 55 publications

Assessing the Digital Transformation Readiness of the Construction Industry Utilizing the Delphi Method

Assessing the Digital Transformation Readiness of the Construction Industry Utilizing the Delphi Method

Crop Monitoring in Smallholder Farms Using Unmanned Aerial Vehicles to Facilitate Precision Agriculture Practices: A Scoping Review and Bibliometric Analysis

Generalized Approach for Object Selective Search in Images

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