پیوندهای مفید
آمار
| تعداد نشریات | 21 |
| تعداد شمارهها | 680 |
| تعداد مقالات | 9,915 |
| تعداد مشاهده مقاله | 70,114,119 |
| تعداد دریافت فایل اصل مقاله | 49,473,899 |
Ensuring food security using geospatial technology | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 26، دوره 15، شماره 9، آذر 2024، صفحه 355-368 اصل مقاله (1.13 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.25955.3347 | ||
| نویسندگان | ||
| Sharifeh Hazini* 1؛ Komeil Rokni2؛ Davood Akbari3 | ||
| 1Department of Food Science, Azadshahr Education and Training Office, Golestan, Iran | ||
| 2Department of Geomatic Engineering, Faculty of Engineering, Gonbad Kavous University, Golestan, Iran | ||
| 3Department of Geomatic Engineering, Faculty of Engineering, University of Zabol, Zabol, Iran | ||
| تاریخ دریافت: 17 اسفند 1400، تاریخ بازنگری: 09 خرداد 1401، تاریخ پذیرش: 26 تیر 1401 | ||
| چکیده | ||
| Food security has been an ongoing concern of governments and international organizations. This study aims at ensuring food security using geospatial technology to find suitable sites for building food industry plants. In this respect, geospatial technology including remote sensing, geospatial information system, and global positioning system was implemented to identify suitable sites for the construction of food industry plants in Qaemshahr County, Iran and an up-to-date and efficient geodatabase for this purpose was prepared. Since rice and citrus are the main products of the study area, to ensure food security and income for the people of the region, suitable site selection to build food industry plants to sort, package, store, convert, and process rice and citrus is very important. On the other hand, because Ghaemshahr is the main hub of rice and citrus production in the country as well as export, food security at the national level can also be ensured. To support the achieved result of selected sites for food industry plants, several analyses were carried out. The resulting suitability map was reclassified based on proximity to raw food materials as well as main roads and cities. Consequently, among the obtained suitable sites, the most suitable places based on these factors were identified. In addition, a comparative analysis was performed between the selected sites and the existing industrial zones in the study area. The findings of this study are useful to ensure food security in the region and country. The study also demonstrated the effectiveness of geospatial technology for this purpose. | ||
| کلیدواژهها | ||
| Food security؛ Food industry؛ Site selection؛ Geospatial technology | ||
| مراجع | ||
|
[1] E.L. Barrera and T. Hertel, Global food waste across the income spectrum: Implications for food prices, Prod. Resource use Food Policy 98 (2021), 101874. [2] C.W. Binns, M.K. Lee, B. Maycock, L.E. Torheim, K. Nanishi, and D.T.T Duong, Climate change, food supply, and dietary guidelines, Ann. Rev. Public Health 42 (2021), 233–255. [3] J.D. Bossler, J.B. Campbell, R.B. McMaster, and C. Rizos, Manual of Geospatial Science and Technology, CRC Press, 2010. [4] P.A. Burrough, R.A. McDonnell, and C.D. Lloyd, Principles of Geographical Information Systems, Oxford University Press, 2015. [5] W. Dessie, X. Luo, M. Wang, L. Feng, Y. Liao, Z. Wang, Z. Yong, and Z. Qin, Current advances on waste biomass transformation into value-added products, Appl. Microbio. Biotechnol. 104 (2020), 4757–4770. [6] A. Elik, D.K. Yanik, Y. Istanbullu, N.A. Guzelsoy, A. Yavuz, and F. Gogus, Strategies to reduce post-harvest losses for fruits and vegetables, Strategies 5 (2019), 29–39. [7] S. Foale, D. Adhuri, P. Ali˜no, E.H. Allison, N. Andrew, P. Cohen, L. Evans, M. Fabinyi, P. Fidelman. C, Gregory, and N. Stacey, Food security and the coral triangle initiative, Marine Policy 38 (2013), 174–183. [8] H.C.J. Godfray, J.R. Beddington, I.R. Crute, L. Haddad, D. Lawrence, J.F. Muir, J. Pretty, S. Robinson, S.M. Thomas, and C. Toulmin, Food security: the challenge of feeding 9 billion people, Science 327 (2010), 812–818. [9] E.M. Golafshani, A. Rahai, M.H. Sebt, and H. Akbarpour, Prediction of bond strength of spliced steel bars in concrete using artificial neural network and fuzzy logic, Construct Build. Materials 36 (2012), 411–418. [10] Iran Meteorological Organization, Meteorological Information and Statistic, Tehran, 2012. [11] Z. Jiang, A.R. Huete, K. Didan, and T. Miura, Development of a two-band enhanced vegetation index without a blue band, Remote Sens. Envir. 112 (2008) 3833-3845. [12] H.Q. Liu and A. Huete, A feedback based modification of the NDVI to minimize canopy background and atmospheric noise, IEEE Trans. Geosci. Remote Sens. 33 (1995), 457–465. [13] K.M. Liu, S.H. Lin, J.C. Hsieh, and G.H. Tzeng, Improving the food waste composting facilities site selection for sustainable development using a hybrid modified MADM model, Waste Manag. 75 (2018), 44–59. [14] S.K. McFeeters, The use of the normalized difference water index (NDWI) in the delineation of open water features, Int. J. Remote Sens. 17 (1996), 1425–1432. [15] J.W. Rouse, R.H. Haas, J.A. Schell, and D.W. Deering, Monitoring vegetation systems in the Great Plains with ERTS (Earth Resources Technology Satellite), Third ERTS (Earth Resources Technology Satellite) Symp., Greenbelt, 1973, pp. 309–317. [16] G. Rockson, R. Bennett, and L. Groenendijk, Land administration for food security: A research synthesis, Land Use Policy 32 (2013), 337–342. [17] K. Rokni, A. Ahmad, and S. Hazini, Comparative analysis of ASTER DEM, ASTER GDEM, and SRTM DEM based on ground-truth GPS data, J. Teknol. 76 (2015), 97–102. [18] K. Rokni, M. Marghany, M. Hashim, and S. Hazini, Performance evaluation of global and absolute DEMs generated from ASTER stereo imagery, IEEE Int. RF Microwave Conf., Malaysia, 2011, pp. 266–269. [19] H. Walls, P. Baker, E. Chirwa, and B. Hawkins, Food security, food safety and healthy nutrition: are they compatible?, Glob. Food Secur. 21 (2019), 69–71. [20] Y. Zha, J. Gao, and S. Ni, Use of normalized difference built-up index in automatically mapping urban areas from TM imagery, Int. J. Remote Sens. 24 (2003), 583–594. | ||
|
آمار تعداد مشاهده مقاله: 1,151 تعداد دریافت فایل اصل مقاله: 947 |
||