Development of a Mobile GIS Property Mapping Application using Mobile Cloud Computing

Neene, Victor; Kabemba, Monde

doi:10.14569/ijacsa.2017.081008

Cited by 9 publications

(9 citation statements)

References 12 publications

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“…The Geographical Information System (SIG) is a unique software used to map farmlands [4]. Several Database Management System (DBMS) supports geospatial data, such as PostgresSQL that supports PostGIS Extensions, Openstreet Maps, and MapBox mobile cloud computing mapping services [5], and Google Maps [6]. Farmland mapping information system is an agriculture-based technology implementation for farmers, of which its development has a close relation to the precision farming concept using the needed spatial data.…”

Section: Information System and Farmland Mappingmentioning

confidence: 99%

“…A device that can real-time record farmland mapping data is highly needed. The use of a device that operates in the Android platform helps provide the latest data by prioritizing a user-friendly application and providing more effective solutions [5]. The use of GIS in the farmland mapping process also helps display complex data, aiding the decision-making process regarding the agriculture products' management [9].…”

Section: Information System and Farmland Mappingmentioning

confidence: 99%

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The Development of Mobile-based Farmland Mapping System with Drones and Wireless Devices

2020

IJATCSE

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Farmland is one of the strategic resources in agricultural management. Thus, this resource must be recorded and utilized correctly. One of the ways to track the utilization of farmlands is by using a farmland mapping information system. Despite so, the use of the website is considered inefficient and difficult to implement as it lacks flexibility and requires a vast space to use it. A mobile-based farmland mapping system equipped with Unmanned Aerial Vehicles (UAV) is added to "Dutatani" integrated farming system, the brainchild of the previous research. This research utilizes GPS u-Blox and Arduino module to generate the land boundaries' coordinates automatically. This wireless device is connected to the Android app integrated with the online database. The coordinates captured by the wireless device will be received by the mobile app and then turned into an online map taken from the Google Maps API satellite image. The farmland mapping results will be integrated into the Dutatani database, connecting them to the previous farmland mapping information system. Two tests are performed: (1) The accuracy testing on the farmland mapping data with Time to First Fix (TTFF) parameter; (2) Functionality testing to detect the average success rate. Based on the testing results, we conclude that the data collection process takes longer to complete (12 minutes with an average of 5.4 minutes) than the TTFF standard of the GPS u-Blox (2 minutes). The system testing success rate is 82% of the total functionality testing average we performed. Thus, this system is successfully developed, albeit its limitation in the utilization duration.

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Section: Information System and Farmland Mappingmentioning

confidence: 99%

Section: Information System and Farmland Mappingmentioning

confidence: 99%

The Development of Mobile-based Farmland Mapping System with Drones and Wireless Devices

2020

IJATCSE

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“…Spatial cloud computing technology allows on-demand access to HPC resources from remote locations (Yang et al 2011;Yue et al 2013). During the past decade, cloud computing technologies have been utilized by researchers and scholars to manage, process, analyse, and visualize a variety of spatial problems (Wang, Wang, and Zhou 2009;Baranski, Schaeffer, and Redweik 2010;Gong, Yue, and Zhou 2010;Baranski et al 2011;Wan et al 2014;Neene and Kabemba 2017;Tang and Feng 2017).…”

Section: Computational Challengesmentioning

confidence: 99%

An interactive platform for the analysis of landscape patterns: a cloud-based parallel approach

2019

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Understanding spatial and temporal characteristics of landscape patterns is critical in ecology, since human interactions with their natural environment can significantly impact ecological processes. The common approach to detect changes in landscape patterns is to evaluate the spatial and temporal variation of well known, established metrics. Examples of such metrics include the composition of different land-use class types and the spatial heterogeneity of individual patches. However, computing such metrics over large geographic areas and at fine levels of granularity requires significant computing resources. In addition, conventional software often lack a visual component that is essential for the detection of changes in landscape patterns and knowledge discovery. In this paper, we propose a cloud-based framework to facilitate the estimation and visualization of landscape pattern analysis in both space and time, capitalizing on the cloud computing facilities provided by Amazon EC2. We illustrate the merit of our approach on landscape metrics across the USA for the years 1992, 2001, and 2011 at the county level. Leveraging cloud computing technology provides the flexibility, scalability and portability to different study regions and at variable scales.

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“…After designing and modelling, the developed system was tested on the field with the results of 10 properties were successfully mapped. [4] A research conducted by Kusnawi discussed ordering problems that cause inconvenience to customers, such as running out of seats and also uncertainty. This problem is trying to be solved by providing a table and food ordering information system and placing it on the main server of a desktop-based restaurant.…”

Section: Introductionmentioning

confidence: 99%

Geographic Information System for Booking Beauty Salon and Barber Shop with an Android-Based E-CRM Approach

Putra¹,

Piarsa²,

Sukarsa³

2020

IJCATR

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Beauty salons and barber shop are a necessity for almost everyone. Nowadays, the business processes of them mostly still use conventional methods. The method gives obstacles to customers who have a lot of activities, for example, they have to come directly to the beauty salon or barber shop to take the queue. In addition, it is hard to promote, communicate and assess without E-CRM media. The location is also difficult to find because there is no guide mark on Google Maps. The Geographic Information System for Booking Beauty Salon and Barber Shop provides solutions for making scheduled bookings and transactions by using the e-CRM approach as in the application of promotional features to attract customers. There are some features offered in the application, such as chat features for communication, rating and review features to assess the services obtained, and route feature as a solution to show the location of selected vendors. The implementation process requires an Android smartphone and a computer device with software including Android Studio, SQLYog, XAMPP, and Visual Studio Code. The results of the implementation is the system can be successfully applied based on experiments and testing directly.

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Development of a Mobile GIS Property Mapping Application using Mobile Cloud Computing

Cited by 9 publications

References 12 publications

The Development of Mobile-based Farmland Mapping System with Drones and Wireless Devices

The Development of Mobile-based Farmland Mapping System with Drones and Wireless Devices

An interactive platform for the analysis of landscape patterns: a cloud-based parallel approach

Geographic Information System for Booking Beauty Salon and Barber Shop with an Android-Based E-CRM Approach

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