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Computing Virtual Geography Possesses Seablite Local Assets


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DOI: https://doi.org/10.15866/irea.v10i4.20424

Abstract


This study has computed the virtual geography of marine assets in terms of agricultural materials of seablite in order to proceed further as an economic plant. The computerized technique has been used to analyze the virtual survey of seablite in Samut Sakhon, Thailand. Computing and drawing software have primarily included GoodNotes, Google Earth, and Google Maps to locate marine assets. The subdistricts in Samut Sakhon have been discovered as locations of seablite local assets. A physical survey has been performed to confirm the places of marine assets identified by the virtual study. The data have revealed seven subdistricts harboring marine assets. Seablite origins have been local assets marked as red spots, and illustrative maps of virtual geography have been drawn. The verification has displayed that virtual and physical survey results have agreed. However, additional studies are required to create a practical illustration of local maritime assets and identify agricultural materials with the substances in each location in order to characterize economic plants and seablite smart farming.
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Keywords


Maritime Computing; Virtual Geography; Seablite; Agricultural Materials

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References


H. Wang, J. Gao, L.L. Ren, Y. Kong, H. Li, L. Li, Assessment of the red-crowned crane habitat in the Yellow River Delta Nature Reserve, East China, Regional Environmental Change, vol. 13, pp. 115-123, 2013.
https://doi.org/10.1007/s10113-012-0325-2

L. Chalmers, Native vegetation of estuaries and saline waterways in south Western Australia, (Water and Rivers Commission, Perth, Western Australia, 1997).

H.V. Kuhnlein, N. Turner, Traditional Plant Foods of Canadian Indigenous Peoples: Nutrition, Botany and Use (Routledge, London, 2020).
https://doi.org/10.4324/9781003054689

E. Vorasiha, The travelling route for gastronomic tourism via salt in western region of Thailand, African Journal of Hospitality Tourism and Leisure, vol. 7, pp. 1-9, 2018.

S. Norton, World's first indoor saltwater farm brings sea beans to Charleston menus, 2020 (accessed on 09/05/2021).
https://charlestonmag.com/features/the_worlds_first_indoor_saltwater_farm_brings_sea_beans_to_charleston_menus

Annual Seablite, 2015. (accessed on 09/05/2021).
https://wildflowerfinder.org.uk/Flowers/S/Seablite(Annual)/Seablite(Annual).htm

T. Chaichana, Y. Chakrabandhu, Spatial Modelling of Seablite Distribution, In Computational Science and Its Applications - ICCSA 2021. Gervasi O. et al., Eds.; Springer, Cham, 2021, Lecture Notes in Computer Science, vol. 12950, pp. 639-647.
https://doi.org/10.1007/978-3-030-86960-1_47

T. Chaichana, G. Reeve, S. Yoowattana, S. Sookpotharom, S. Wangtueai, Bespoke Cultivating Seablite with Digital Agriculture, In Book of Abstract FAB 2022 (Chiang Mai University, 2022, pp. 20).

T. Chaichana, S. Sookpotharom, S. Wangtueai, Seablite and Brittany (Creative Digital Print, Bangkok, 2021).

T. Chaichana, Z. Sun, P6 Identification and Characterization of Coronary Plaques with CT Virtual Intravascular Endoscopy: A Pictorial Review, Atherosclerosis Supplements, vol. 11, no. 2, pp. 18, 2010.
https://doi.org/10.1016/S1567-5688(10)70073-8

Z. Sun, T. Chaichana, F.J. Dimpudus, J.D. Adipranoto, J. Nugroho, 3D Virtual Intravascular Endoscopy Visualization of Coronary Artery Plaques, the 3rd International Conference on Bioinformatics and Biomedical Engineering ~ ICBBE 2009~, June 11-13, 2009, Beijing, China.
https://doi.org/10.1109/ICBBE.2009.5162142

Z. Sun, T. Chaichana, An investigation of correlation between left coronary bifurcation angle and hemodynamic changes in coronary stenosis by coronary computed tomography angiography-derived computational fluid dynamics, Quantitative Imaging in Medicine and Surgery, vol. 7, pp. 537-548, 2017.
https://doi.org/10.21037/qims.2017.10.03

Z. Sun, B. Mwipatayi, T. Chaichana, C. Ng, Hemodynamic Effect of Calcified Plaque on Blood Flow in Carotid Artery Disease: A Preliminary Study, the 3rd International Conference on Bioinformatics and Biomedical Engineering ~ ICBBE 2009~, June 11-13, 2009, Beijing, China.
https://doi.org/10.1109/ICBBE.2009.5162900

T. Chaichana, Z. Sun, J. Jewkes, Computation of hemodynamics in the left coronary artery with variable angulations. Journal of biomechanics, vol. 44, no. 10, pp. 1869-1878, 2011.
https://doi.org/10.1016/j.jbiomech.2011.04.033

T. Chaichana, C.S. Brennan, S. Osiriphun, P. Thongchai, S. Wangtueai. Development of local food growth logistics and economics. AIMS Agriculture and Food, vol. 6, no. 2, pp. 588-602, 2021.
https://doi.org/10.3934/agrfood.2021035

X. Zhang, L. Wu, X. Ma, Y. Qin, Dynamic computable general equilibrium simulation of agricultural greenhouse gas emissions in China. Journal of Cleaner Production, vol. 345, 131122, 2022.
https://doi.org/10.1016/j.jclepro.2022.131122

F.M.R. Junior, R.A.C. Bianchi, R.C. Prati, K. Kolehmainen, J.P. Soininen, C.A. Kamienski, Data reduction based on machine learning algorithms for fog computing in IoT smart agriculture. Biosystems Engineering, 2022.

F.W. Maina, J. Mburu, C. Ackello-Ogutu, H. Egelyng, Producers' valuation of geographical indications-related attributes of agri-food products from semi-arid lands in Kenya. Heliyon, vol. 5, no. 2, e01218, 2019.
https://doi.org/10.1016/j.heliyon.2019.e01218

M.M. Artêncio, J.D.M.E. Giraldi, J.H.C. de Oliveira, A cup of black coffee with GI, please! Evidence of geographical indication influence on a coffee tasting experiment. Physiology & Behavior, vol. 245, 113671, 2022
https://doi.org/10.1016/j.physbeh.2021.113671

A. Tashiro, Y. Uchiyama, R. Kohsaka, Impact of Geographical Indication schemes on traditional knowledge in changing agricultural landscapes: An empirical analysis from Japan. Journal of Rural Studies, vol. 68, pp. 46-53, 2019.
https://doi.org/10.1016/j.jrurstud.2019.03.014

F. Sgroi, Territorial development models: A new strategic vision to analyze the relationship between the environment, public goods and geographical indications. Science of The Total Environment, vol. 787, 147585, 2021.
https://doi.org/10.1016/j.scitotenv.2021.147585

Y. Xian, G. Liu, L. Zhong, Will citrus geographical indications face different climate change challenges in China? Journal of Cleaner Production, vol. 356, 131885, 2022.
https://doi.org/10.1016/j.jclepro.2022.131885

A. Lewis, M. Randall, S. Elliott, J. Montgomery, Long Term Implications of Climate Change on Crop Planning. In: Rodrigues J. et al. (eds) Computational Science - ICCS 2019. ICCS 2019. Lecture Notes in Computer Science, 11536, 1-14 (2019).

P. Vitt, K. Havens, A.T. Kramer, D. Sollenberger, E. Yates, Assisted migration of plants: Changes in latitudes, changes in attitudes. Biological Conservation, vol. 143, no. 1, pp. 18-27, 2010.
https://doi.org/10.1016/j.biocon.2009.08.015

R.P. Neilson, L.F. Pitelka, A.M. Solomon, R. Nathan, G.F. Midgley, J.M.V. Fragoso, H. Lischke, K. Thompson, Forecasting Regional to Global Plant Migration in Response to Climate Change. BioScience, vol. 55, no. 9, pp. 749-759, 2005.
https://doi.org/10.1641/0006-3568(2005)055[0749:FRTGPM]2.0.CO;2

E. Ustaoglu, S. Sisman, A.C. Aydınoglu, Determining agricultural suitable land in peri-urban geography using GIS and Multi Criteria Decision Analysis (MCDA) techniques. Ecological Modelling, vol. 455, 109610, 2021.
https://doi.org/10.1016/j.ecolmodel.2021.109610

R. Li, C. Wei, M.D. Afroz, J. Lyu, G. Chen, A GIS-based framework for local agricultural decision-making and regional crop yield simulation. Agricultural Systems, vol. 193, 103213, 2021.
https://doi.org/10.1016/j.agsy.2021.103213

Bi-chakhram, 2016. (accessed on 14/05/2022).
https://sites.google.com/site/samunpraisabaipung/bi-chakhram

Samut Sakhon Province, 2019. (accessed on 14/05/2022).
http://www.samutsakhon.go.th/

Google Earth Software, 2001. (accessed on 14/05/2022)
https://www.google.com/earth/

Google Maps Software, 2005. (accessed on 14/05/2022).
https://www.google.com/maps

Good Notes Software, 2019. (accessed on 14/05/2022).
https://www.goodnotes.com/

J. Snudden, Progression to the next industrial revolution: Industry 4.0 for composites, Reinforced Plastics, vol. 63, pp. 136-142, 2019.
https://doi.org/10.1016/j.repl.2019.04.001

E. Flores, X. Xu, Y. Lu, A Reference Human-centric Architecture Model: a skill-based approach for education of future workforce, Procedia Manufacturing, vol. 48, pp. 1094-1101, 2020.
https://doi.org/10.1016/j.promfg.2020.05.150

Digital Agriculture, CMU Lifelong Education, 2021. (accessed on 14/05/2022).
https://www.lifelong.cmu.ac.th/courseleid.php?id=000090


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