An Integrated System for Mapping Red Clover Ground Cover Using Unmanned Aerial Vehicles: A Case Study in Precision Agriculture

Author(s):  
Ammar M. Abuleil ◽  
Graham W. Taylor ◽  
Medhat Moussa
Author(s):  
Mostafa Namian ◽  
Mohammad Khalid ◽  
George Wang ◽  
Yelda Turkan

Unmanned aerial vehicles (UAVs) have gained their prevalent recognition in construction because of their exceptional advantages. Despite the increasing use of UAVs in the industry and their remarkable benefits, there are serious potential safety risks associated that have been overlooked. Construction is one of the most hazardous industries in the United States. In addition to the ordinary hazards normally present in dynamic construction workplaces, UAVs can expose workers to a wider range of never-before-seen safety risks that must be recognized and controlled. The industry is not equipped with safety measures to prevent potential accidents, because of scarce research on drone-associated hazards and risks. The aim of this research was to (1) identify the UAV-associated hazards in construction that may expose personnel and property to potential harms, and (2) study the relative impact of each hazard and the associated safety risks. In Phase I, the researchers conducted an extensive literature review and consulted with a construction UAV expert. In Phase II, the researchers obtained data from 54 construction experts validating and evaluating the identified hazards and risks. The results revealed that adopting UAVs can expose construction projects to a variety of hazards that the industry is not familiar with. “Collision with properties,”“collision with humans,” and “distraction” were identified as the top three safety risks. Moreover, the study introduces effective strategies, such as having qualified crew members, proper drone model selection, and drone maintenance, to mitigate the safety risks. Finally, a post-hoc case study was investigated and presented in this article.


Author(s):  
Rui Pedro Juliao ◽  
Amilton Amorim ◽  
João Paulo Hespanha ◽  
Guilherme Henrique Barros de Souza ◽  
Ronaldo Celso Messias Correia ◽  
...  

Promoting and managing sustainable territorial development require adequate tools that enable territorial managers to formulate appropriate choices. Technological solutions have emerged, and the paradigm has shifted from isolated GIS to a more collaborative production and dissemination of geographic data using spatial data infrastructures (SDI). A critical dataset for municipal land administration is cadastre. ISO 19152 standard of the Land Administration Domain Model (LADM) was published in 2012. Also, technology evolution, namely unmanned aerial vehicles (UAV), has changed data acquisition for cadastre. These are three pillars of modern territorial management: openness, co-production, and data sharing (SDI); models (LADM); affordable technology (UAV). This chapter presents how municipalities can develop an SDI project, incorporating LADM guidelines and UAV data acquisition. The case study is based on a group of 32 small municipalities from São Paulo state, in Brazil, known as UNIPONTAL.


2020 ◽  
Vol 12 (11) ◽  
pp. 4731
Author(s):  
Rachele Grosso ◽  
Umberto Mecca ◽  
Giuseppe Moglia ◽  
Francesco Prizzon ◽  
Manuela Rebaudengo

The Italian way of thinking about maintenance is too often one-sided. Indeed, it is considered not so much as a useful practice to prevent the occurrence of a fault (ex ante), but as an intervention to solve it (ex post). Analyzing the legislation relating to the construction sector, it can be seen that it does not clearly define the responsibilities, timescales and methods in which maintenance interventions must be planned and carried out. For this reason, this practice is still very weak compared, for example, to the industrial sector, where it is an established practice. Currently, the complexity of reading the maintenance plans drawn up by designers and the considerable costs associated with maintenance operations discourage owners and managers from even carrying out preliminary inspection operations. This research aims to stimulate these stakeholders to carry out inspection operations regularly, highlighting their costs and benefits. In particular, working on a case study in Piedmont, the costs of visual inspections carried out in the traditional way are compared with those that would be incurred if unmanned aerial vehicles (UAVs) were used. Finally, the collateral benefits of inspections carried out with UAVs are highlighted.


Author(s):  
Alejandra Otero Arenzana ◽  
Jose Javier Escribano Macias ◽  
Panagiotis Angeloudis

Unmanned aerial vehicles (UAVs) are being increasingly implemented in a range of applications. Their low payload capacity and ability to overcome congested road networks enables them to provide fast delivery services for urgent high-value low-volume cargo. This work investigates the economic viability of integrating UAVs into urban hospital supply chains. In doing so, a strategic model that determines the optimal configuration of supporting infrastructure for urgent UAV delivery between hospitals is proposed. The model incorporates a tailored facility location algorithm that selects an optimal number of hubs given a set of candidates and determines the number of UAVs required to fulfill total demand. The objective is to minimize the total cost of implementation, computed as the sum of generalized, battery, vehicle, and hub establishment costs. The model is applied to a case study based on the establishment of a UAV delivery network for deliveries between National Health Service (NHS) hospitals in London. A baseline scenario is also developed using current NHS vehicles for delivery. Results demonstrate that UAV-based delivery provides significant reductions in operational costs compared with the baseline. Furthermore, the analysis indicates the location of hubs is more significant to the solution optimality than any increase in range or payload.


2016 ◽  
Vol 22 (9) ◽  
pp. 2160-2163 ◽  
Author(s):  
Masiri Kaamin ◽  
Misbahul Muneer Abd Rahman ◽  
Norhayati Ngadiman ◽  
Aslila Abd Kadir ◽  
Ahmad Hakimi Mat Nor ◽  
...  

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