Geoinformation system integration and methods of multi-criteria decision analysis for assessment of land suitability for agricultural use

Kalichkin, V. K.; Logacheva, O. M.; Sigitov, A. A.; Garafutdinova, L. V.

doi:10.26898/0370-8799-2020-6-11

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…For many reasons, including land suitability [5]. Numerous researchers have attempted to provide a common framework for appropriate and suited agricultural land management using ArcGIS [8, 1, 9, 10] and using Qgis [11,12]. In Tunisia, several maps have been created to assess land suitability, in particular, developed the agriculture map showing the different distribution of crops (Rainfed cereal crops, Alfa steppe (Stipa tenac), Rainfed cereal and the Alfa steppe (Stipa tenacissima) [13,2].…”

Section: Introductionmentioning

confidence: 99%

Land suitability assessment of soils using geographic information system in the semi-arid area of Tunisia

Abida¹,

Barbouchi²,

Boudabbous³

et al. 2023

GSC Adv. Res. Rev.

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Land suitability maps are useful tools for protecting soil resources. The main objective of this study was to elaborate and assess soil suitability maps for different rainfed and irrigated crops. This study was conducted in the North-East area of Tunisia, three speculations were adopted (Cereals, arboriculture and vegetable crops) in both rainfed and irrigated conditions. Arithmetic multiplication methods were used based on Food and Agriculture Organization (FAO) classification based on Free and Open Source Geographic Information System (QGIS) tools and soil pedological properties, slope, elevation and climatic data. Overall, regardless of rainfed or irrigated conditions, results showed that the studied soils were particularly suitable (S1) for cereals crops and marginal suitable (S3) for arboriculture crops with 20.44 and 23.71%, respectively. More particular, we registered an improvement in soil land suitability under irrigated conditions for cereals with 28.63%. The findings indicated that using the GIS system, the soil in the study area is more suitable for cereals and then for arboriculture under irrigated conditions, which requires some improvement in use strategies and good management of the soil resources. In our study area, where agricultural productivity and environmental and the impact of climate change are in a struggle, classifying land on the basis of soil capacity and suitability could help define the best agricultural practices to apply in order to preserve soil functions could help define the best agricultural practices to be applied in order to preserve soil functions.

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Section: Introductionmentioning

confidence: 99%

Land suitability assessment of soils using geographic information system in the semi-arid area of Tunisia

Abida¹,

Barbouchi²,

Boudabbous³

et al. 2023

GSC Adv. Res. Rev.

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Agroecological land typiﬁcation

Garafutdinova

2022

Sib. vestn. s-h. nauki

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The minimum required information and the sequence of agroecological land type allocation on the land management territory of the experimental station (ES) located in the forest-steppe of the Priob'ye region of Novosibirsk is described. Two agroecological land types are distinguished: the ﬁrst type (upland lands) is represented by leached chernozem in combination with common, podzolized and dark-grey forest soils; the second type (slightly erosive lands) is represented by leached chernozem in combination with dark-grey forest soils. Soil cover of ES in both types of lands is represented by leached chernozem (Lch-2-2s), the share of which for the ﬁrst type is 75.26%, for the second - 76.26% of the total area of the types. The ﬁrst agroecological land type is characterized by a range of heights from 134 to 165 m. The working areas are located on the slopes between 0 and 3 degrees in relation to the terrain angle. Vertical dissection of the relief averages 1.3 m, horizontal dissection by erosion forms is 0.8 km/km2. The second type of land is characterized by an elevation of 113 to 137 meters above sea level and a slope of 1 to 4 degrees. Vertical dissection of the terrain averages 1.7 m, horizontal dissection by erosion forms 0.9 km/km2. Typiﬁcation was carried out with the help of a generated Digital Land Use Model (DLM) of the ES based on the analysis of geographical information, remote sensing materials (ERS) and cadastral map. The DLM consists of the following geo-information layers: topography, land cover, digital elevation model (DEM), working areas. The DEM includes information on slope steepness and exposure, vertical and horizontal dissection.

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Methodology for forming a digital farming management system

Kalichkin,

Maksimovich

2024

Sib. vestn. s-h. nauki

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The paper presents methodological approaches for the creation of a digital farming management system (DFMS). A convergent approach, based on cognitive (conceptual) analysis methods, is employed in the research and applied to the formation of adaptive landscape farming systems. The fundamental principles of organizing DFMS include crop and environmental monitoring (in situ, remote sensing); the formation of farming system archetypes based on the analysis of long-term field experiments; spatial object modeling and land typology using GIS; planning and support for agrotechnologies to adapt to natural and economic conditions; modeling ecosystem services and biodiversity; assessing the impact on the sustainability and economics of crop production. The system is implemented using geoinformation models in a specific geographic coordinate. DFMS involves conducting a "inventory" of natural and production resources, as well as identifying limits of climatic, soil, and agrolandscape parameters at different levels of land use intensity. At each stage of organizing system blocks, methods of intelligent data analysis and machine learning are used, with the core of the system relying on the use of knowledge bases and logical rules of the subject area. A key element of the system is the scaling of the results of long-term field experiments and accumulated knowledge in different management areas based on the parameterization of the multi-level variability of farming systems and the formation of their archetypes. The practical implementation of the main provisions of DFMS allows approaching the solution of key issues related to reducing the level of uncertainty and associated risks in agriculture. This is achieved through scientifically justified organization of rational land use, increasing the resilience of crop production in different land use conditions, and providing information support to rural producers.

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Geoinformation system integration and methods of multi-criteria decision analysis for assessment of land suitability for agricultural use

Cited by 3 publications

References 14 publications

Land suitability assessment of soils using geographic information system in the semi-arid area of Tunisia

Land suitability assessment of soils using geographic information system in the semi-arid area of Tunisia

Agroecological land typiﬁcation

Methodology for forming a digital farming management system

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