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STUDY ON CROP SUITABILITY AND AGRICULTURAL LAND EVALUATION USING THE GIS TECHNOLOGY

Gabriela Biali, Paula Cojocaru

First published: 2021-12-20https://doi.org/10.5593/sgem2021/2.1/s11.92View metrics

Abstract

Our research reveals the importance of GIS technology for land evaluation. The research was conducted on a piece of land of about 770 ha in Romania, which enjoys a diversity of natural factors. Land suitability evaluation, especially given limited land resources, is an important stage in the assessment of its ecological state and for land use planning. The main goal of this evaluation is to estimate the possibilities of maintaining the optimal natural potential of the soil in the process of a certain mode of use over a long period of time. Based on the analysis of the contribution of the various land favorability parameters, we assessed the Agricultural Land Suitability Index and the findings are grouped into five classes of suitability: very good, good, moderate, medium and poor. This classification was made by superimposing several layers of information in a Geographic Information System - GIS. The research described in this paper relies on field data acquisition using a GPS and drone, and on data collected from databases of various institutions. The data were processed using ArcGIS software. This land evaluation action/activity allows one to determine the relative value of a piece of land. The GIS technique may be used to easily compile a database (attribute and graphics) for a large territory and for a very wide range of agricultural crops, respectively. These analyses allow determining the most appropriate uses and crops in terms of profitability, as they may reveal crop yield and economic efficiency on a regular basis. According to this paper, GIS analysis allows the practical interpretation of the natural characteristics of the studied soil in terms of both actual evaluation and technological soil characterization.

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Publication details

Title
STUDY ON CROP SUITABILITY AND AGRICULTURAL LAND EVALUATION USING THE GIS TECHNOLOGY
Authors
Gabriela Biali, Paula Cojocaru
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 21st SGEM International Multidisciplinary Scientific GeoConference Proceedings 2021, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2021
Pages
451-460
SWS Citekey
Biali202111771780
ISSN
1314-2704
ISBN
978-619-7603-22-4
Language
en
Publication type
Conference Paper
Keywords
References11
  1. Andrew U. Frank, Geographic Information Systems, Materials for a Post-Graduate Course, Department of Geoinformation, Technical University Wien, 1995.

  2. Biali Gabriela, Cojocaru Paula, Schneider Petra, Research concerning the improvement of the characteristics of soils affected by landslide. 19th International Multidisciplinary Scientific GeoConference SGEM 2019, Vol. 19, Issue 3.2, Section Soils, Bulgaria, 2019, pp. 341 – 348.

  3. Biali Gabriela, Cojocaru Paula, Use of GIS technique for hydrological modeling of sheet erosion. 18th International Multidisciplinary Scientific GeoConference SGEM. Vol 18, Issue 2.3, Section Cartography and GIS, Bulgaria, 2018, pp. 705-712.

  4. Bilaşco Ştefan, Sanda Roşca, Ioan Păcurar, Nicolaie Moldovan, Iuliu Vescan, Ioan Fodorean, Dănuţ Petrea, Roads accesibility to agricultural crops using GIS technology. Methodological approach. Geographia Technica, Vol 13, Issue no. 2/2018, pp. 12-30.

  5. Bilaşco Ştefan, Roşca Sanda, Fodorean Ioan, Vescan Iuliu, Filip Sorin, Petrea Dănuţ, Quantitative evaluation of the risk induced by dominant geomorphological processes on different land uses, based on GIS spatial analysis models. Journal Frontiers of Earth Science, 2017, pp. 1-14

  6. Niacsu Lilian, Ion Ionita, Daniel Curea, Optimum agricultural land use in the hilly area of eastern Romania. Case study: Pereschiv catchment. Jurnal Carpathian Journal of Earth and Environmental Sciences, Vol. 10, No. 1, pp. 183-192, 2015.

  7. Roșca Sanda Maria, Stefan Bilaşco, Ioan Păcurar, Oncu Marcel, Cornel Negruşier, Dănuț Petrea, Land capability classification for crop and fruit product assessment using GIS technology. Case study: the Niraj River Basin (Transylvania Depression, Romania). Journal Notulae Botanicae Horti Agrobotanici Cluj-Napoca, Volume 43, Issue 1, Pages 235-242, 2015.

  8. Roșca Sanda, Vasile Șimonca, Ștefan Bilașco, Iuliu Vescan, Ioan Fodorean, Dănuț Petrea, The assessment of favourability and spatio-temporal dynamics of Pinus mugo in the Romanian Carpathians using GIS technology and landsat images. Journal Sustainability,Volume 11, Issue 13, 2019.

  9. Rusu Alexandru, Adrian Ursu, Cristian Constantin Stoleriu, Octavian Groza, Lilian Niacșu, Lucian Sfîcă, Ionuț Minea, Oana Mihaela Stoleriu, Structural changes in the Romanian economy reflected through Corine Land Cover Datasets, Jurnal Remote Sensing, Vol. 12, No. 8, 2020.

  10. Sestraş Paul, Tudor Sălăgean, Ştefan Bilaşco, Mircea Vasile Bondrea, Sanda Naş, Spyros Fountas, Velibor Spalevic, Sorin Mihai Cimpeanu, Prospect of a GIS based digitization and 3d model for a better management and land use in a specific micro-areal for crop trees. Journal Environmental Engineering & Management Journal, Volume 18, Issue 6, 2019.

  11. http://legislatie.just.ro/Public/DetaliiDocument/37983

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