scholarly journals Land Suitability Evaluation for Rice (Oryza sativa L.) in Tirora Tehsil of Gondia District, Maharashtra - A GIS Approach

Agropedology ◽  
2019 ◽  
Vol 26 (1) ◽  
Author(s):  
Vishakha Dongare ◽  
◽  
A.K. Maji ◽  
G.B. Obi Reddy ◽  
I.K. Ramteke ◽  
...  
Keyword(s):  
Oryza Sativa L ◽  
Soil Depth ◽  
Geographical Area ◽  
Land Suitability ◽  
Land Evaluation ◽  
Suitability Analysis ◽  
Ancillary Data ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Total Geographical Area

In the present study, land suitability evaluation has been carried out for rice in Tirora tehsil of Gondia district, Maharashtra, through analysis of landforms and soils using IRS–ID LISS-III and ancillary data Geographic Information System (GIS). Thirteen distinct landform units have been delineated in the study area. The slope of the tehsil varied from level to nearly level (0-1%) to very steep slopes (>50%). The soils occurring on different land forms units been studied and horizons wise soil samples were characterized and classified. The soil depth varied from very shallow (10-25 cm) to very deep (>150 cm) and soil texture ranged from clay loam to clayey depending upon topographic positions. The land evaluation criterion of FAO has been followed to assess the land suitability for rice. The suitability analysis indicates that about 45.5% of total geographical area (TGA) is highly suitable, 24% is moderately suitable and 24.2% o is not suitable for rice cultivation in the tehsil.

Combining current land use and farmers' knowledge to design land-use requirements and improve land suitability evaluation

2011 ◽  
Vol 26 (4) ◽  
pp. 287-296 ◽  
Author(s):  
Feras M. Ziadat ◽  
Kais A. Sultan
Keyword(s):  
Land Use ◽  
Management Practices ◽  
Evaluation Process ◽  
Land Suitability ◽  
Land Evaluation ◽  
Suitability Analysis ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Starting Point ◽  
Suitable Area

AbstractLand suitability analysis is very important to assess and propose the most suitable land-use options. The reliability of land suitability evaluation is controlled by choosing the most limiting land characteristics and their ratings for the proposed land utilization types (LUTs). This study aims at examining the possibility of using current land use and farmers' knowledge as a starting point to suggest and/or modify land evaluation criteria, and to improve the land suitability evaluation process. The potential suitability of land for five LUTs (open range, improved range, rainfed barley, drip-irrigated vegetables and drip-irrigated trees) was evaluated near Al-Mafraq in Jordan using the maximum limitation method. The results indicated variable agreement levels between potential land suitability and current land use for different LUTs. Sixteen farms were selected to represent different cases of disagreement between potential suitability and current land use and were visited to explore the farmers' improved management practices adopted to overcome land-use limitations. Using proposed criteria, only 1% of the study area was highly suitable for drip irrigation, whereas most of the area was moderately or marginally suitable for other uses. This represents the conventional land evaluation procedures, which, in most cases, overlook the farmers' knowledge and practices that are adopted in a particular area to overcome biophysical limitations. The ratings for different land characteristics were modified based on comparisons with current land use, and by referring to farmers’ adopted management practices. Using modified criteria, the highly suitable area for drip-irrigated vegetables increased by 18% and the highly suitable area for drip-irrigated trees increased by 25%. The results emphasized that the consideration of the farmer's indigenous knowledge and current land use improve the land evaluation process, which leads to better utilization of limited land resources in fragile environments.

Using a fuzzy logic decision system to optimize the land suitability evaluation for a sprinkler irrigation method

2018 ◽  
Vol 47 (4) ◽  
pp. 298-307 ◽  
Author(s):  
Yaser Hoseini ◽  
Morteza Kamrani
Keyword(s):  
Parametric Method ◽  
Sprinkler Irrigation ◽  
Land Suitability ◽  
Land Evaluation ◽  
Inference System ◽  
Fuzzy Method ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Study Results ◽  
Significant Difference

Land evaluation for irrigation is the process of predicting land use potential on the basis of soil attributes. The Food and Agriculture Organization (FAO) framework for land suitability evaluation is the most commonly used and is based on the biophysical properties of lands. The FAO framework method for land suitability application Boolean approach that has been criticized by some researchers. Because the Boolean representations ignore the continuous nature of soil and uncertainties in measurement and also its inability for overcoming problems related to vagueness in definition and other uncertainties, fuzzy set methodologies have been proposed. In the present study, the qualitative land suitability evaluation for sprinkler irrigation using parametric-based FAO learning and fuzzy inference system was carried out in an area of 5175 ha in Northwest Iran. By overlaying the layers (soil texture, soil depth, lime, electric conductivity, drainage, and slope) and use of spatial data modeler in ArcGIS 9.3, land evaluation maps for sprinkler irrigation were provided for the area under study. Results showed that based on the parametric approach, 1598 ha of the study area were classified as highly suitable (S1 class) for sprinkler irrigation; the area of highly suitable lands in the parametric method was about five times the area of highly suitable lands obtained through the fuzzy method. In addition, the two methods were completely different in determining moderately suitable lands (S2). Accordingly, 787 ha in the area was moderately suitable using the parametric method, which was about two times that obtained through the fuzzy method. This showed the significant difference between two methods applied to evaluate the lands. Moreover, fuzzy approaches accommodate the continuous nature of some soil properties and produce more intuitive distributions of land suitability indexes.

scholarly journals Kajian Metode Evaluasi Kesesuaian Lahan untuk Kakao di Kabupaten Bantaeng

2019 ◽  
Vol 3 (2) ◽  
pp. 85
Author(s):  
Anwar Anwar ◽  
Muliati Galib ◽  
Wahyuni M
Keyword(s):  
Soil Fertility ◽  
Physical Properties ◽  
Soil Depth ◽  
Chemical Properties ◽  
Land Suitability ◽  
Land Evaluation ◽  
Limiting Factors ◽  
Limiting Factor ◽  
Suitability Analysis ◽  
Effective Depth

Land evaluation is an assessment of the potential of land resources. The results of land evaluation will provide information on the best use of it which will lead to expected value of production. This study aimed to determine the level of suitability of the cocoa plantations in Bantaeng Regency using the FAO and Sys methods; make a map of the actual and potential land suitability. The results of the analysis showed that the actual cocoa land suitability of the FAO method was presented in distribution points according to marginal (S3rn) with limiting factor of rooting media and nutrients availability. While the actual land suitability analysis of the cocoa Sys method was not suitable (N1cSf) with climate limiting factors, the soil physical properties and soil fertility. Based on the limiting factors the physical properties of the two methods, there were similarities in effective depth (FAO) and soil depth (Sys), S3 parameters according to FAO and N1 according to Sys. The limiting factor for the soil chemical properties of the two methods was also the same, the availability of S3 (FAO) nutrients, while the (Sys) method was the soil fertility N1.

scholarly journals STUDI KESESUAIAN LAHAN TAMBAK DI KAWASAN BEKAS PELABUHAN BATUBARA KECAMATAN SATUI KALIMANTAN SELATAN DENGAN SISTEM INFORMASI GEOGRAFIS Study of Fishpond Land Suitability at Ex the Coal Port in Satui District, Tanah Bumbu Regency, South Kalimantan Province using Geographic Information System)(

2016 ◽  
Vol 1 (1) ◽  
pp. 80
Author(s):  
M Adnan Zain
Keyword(s):  
Field Data ◽  
Mining Activity ◽  
Land Suitability ◽  
Gis Analysis ◽  
Suitability Analysis ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Field Data Collection ◽  
Marine Areas ◽  
Suitable Area

<em>Satui district is the largest coal producing area in </em><em>South Kalimantan</em><em> and it has a coastal and marine areas that quite broad. Mining activity causes a lot of impact of environmental pollution, especially water pollution. Conditions of aquaculture in Satui district is currently vulnerable to damage resulting from the former coal mining and the construction of the illegal construction of the specific port. The purpose of this study is collecting the parameters  of land suitability evaluation for pond</em><em> in the Satui district pond and knowing the level of suitability coastal ponds in the Satui district with GIS</em><em>. The method that applied at this research are observing and analyzingthe criteria parameters of environmental quality for pond development which supported by field data to find the level of compliance. This study including some stages, they are image using, field data collection and data analysis. Water quality, soil and land suitability analysis, the paramaters study at this study are slope, the zone fisiology, soil texture and water supply. Based on GIS analysis, the area very suitable for pond around the port is 486 ha, the suitable area is 406 ha, the moderate area is 1.734 ha and unsuitable area is 1.197 ha.</em>

The cropping systems-model PERFECT as a quantitative tool in land evaluation - an example for wheat cropping in the Maranoa area of Queensland

Soil Research ◽  
1995 ◽  
Vol 33 (3) ◽  
pp. 535 ◽  
Author(s):  
EC Thomas ◽  
EA Gardner ◽  
M Littleboy ◽  
P Shields
Keyword(s):  
Cropping Systems ◽  
Cropping System ◽  
Land Suitability ◽  
Land Evaluation ◽  
Land Resource ◽  
Climate Data ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Systems Model ◽  
Marginal Areas

The mechanistic cropping systems model PERFECT was validated for six different soils and used as a tool to evalute land suitability of wheat cropping in the Maranoa, a marginal cropping area of Queensland. Using 100 years of historic climate data from the area, and crop, soil and management parameters, simulations provided an objective insight into the key interactions of the cropping system. Current methods of land suitability evaluation are qualitative and rely on the experience of the land resource surveyor and local precedent. Consequently, where local precedent is lacking, as in marginal areas, current methods are considered less reliable and quantiative data from simulation studies will be useful. Using this process, the significance of key components of the systems (climate, plant available water capacity, soil nitrate and soil loss hazard) were quantified. These quantitative data were used to establish critical values for diagnostic attributes for land suitability evaluation in the Maranoa. The role for this approach as a tool in quantitative land evaluation is discussed.

scholarly journals Evaluating the Potential of Quingua Soil Series Towards a More Productive and Sustainable Lowland Rice-Based Farming in the Philippines

2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Sandro D. Cañete ◽  
Wilfredo B. Collado ◽  
Rodrigo B. Badayos ◽  
Pearl B. Sanchez ◽  
Pompe C. Sta. Cruz
Keyword(s):  
Evaluation System ◽  
Crop Production ◽  
The Philippines ◽  
Land Suitability ◽  
Land Evaluation ◽  
Vegetable Production ◽  
Soil Series ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Management Interventions

Land Evaluation System using the modified Food and Agriculture Organization framework was carried out to assess the suitability of various important crops to Quingua soil series. Corresponding sound management interventions were then formulated over the identified production constraints. This was done to achieve a more productive and sustainable rice-based farming. The system generates a more specific land utilization type in which spatial and climatic variabilities are recognized.  The data used for land suitability evaluation was extracted from 2011-2012 cropping seasons. Analysis disclosed that Quingua series in Talavera and Sto. Domingo, Nueva Ecija, Philippines, representing irrigated and irrigation-supplemented lowlands, respectively, has high flexibility to growing various types of crops due to its favorable land attributes. Hence, crop intensification is highly recommended provided that minor limitations on soil organic matter, drainage, temperature, and seasonal flooding are offset. Multiple cropping system that involves off-season vegetable production and growing of cash or high-value crops in combination or rotation with rice dominates the farms’ landscape. This practice had generated varying levels of return on investment (ROI) from negative to more than 1000% as affected primarily by climate and farm management. Designing market-driven cropping systems under good management strategies can generate stable ROIs’ ten times higher than the production cost, hence, a more productive and profitable enterprise. Furthermore, soils of the same soil series exhibit similar characteristics or properties that require the same level of management in achieving the desired production output. Thus, information obtained from land suitability evaluation can serve as an effective tool for the government’s specific crop production program and agro-technology promotion.

scholarly journals Evaluasi Kesesuaian Lahan Untuk Tanaman Durian Menggunakan Metode Matching

2021 ◽  
Vol 3 (1) ◽  
pp. 18-31
Author(s):  
Muhammad Frido Saputra ◽  
Sidharta Adyatma ◽  
Deasy Arisanty
Keyword(s):  
Flood Hazard ◽  
Soil Depth ◽  
Land Suitability ◽  
Land Conservation ◽  
Limiting Factor ◽  
Matching Method ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Inhibiting Factors ◽  
Geological Maps

Land suitability evaluation is a process of assessing the potential of land for a particular use, whether in agriculture, plantation, tourism, land conservation, or other types of use. This study aims to determine the land suitability class for durian plants in Aranio District and determine the inhibiting factors on the land using the matching method. The population in this study was 12 land units and each unit was taken 2 samples. Land units are obtained from overlay maps of landforms, slope maps, geological maps, soil association maps, and land use maps. The results showed that the land in Aranio District was included in the suitability class S2 (moderately suitable) with an area of 15069.68 hectares or 33.13%, S3 (marginally suitable) with an area of 1485.78 hectares or 3.27%, and N1 (not current suitable) with an area of 3980.03 hectares or 8.75%. The limiting factor is slope, erosion hazard, pH, soil depth, surface rock, alkaline saturation, flood hazard, phosphate, K2O, and N-Total. The villages in the Aranio sub-district are used to develop durian plants because they have land suitability classes of S2 and the use of shrubs, fields, and mixed gardens are above 50%, namely Tiwingan Baru and Tiwingan Lama villages.

scholarly journals Land suitability evaluation for surface irrigation development using parametric evaluation approach: The case of Gudina Wacho watershed, Western Ethiopia

2021 ◽  
pp. 302-309
Author(s):  
Weldeabzgi Gebre Gidey ◽  
Ketema Tekalign ◽  
Gashu Gezahegn ◽  
Deressa Sime
Keyword(s):  
Soil Depth ◽  
Land Suitability ◽  
Limiting Factors ◽  
Soil Parameters ◽  
Surface Irrigation ◽  
Irrigation Development ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Evaluation Approach ◽  
Mapping Units

Evaluating land suitability of a given watershed is vital to predict potential and limitation of the land for surface irrigation. The present study was evaluated the suitability of Gudina Wacho watershed for surface irrigation development using parametric evaluation approach. The watershed was classified in to four lands mapping units, based on three soil profile pits were opened at each land mapping unit. Soil samples from each profile pit have been taken to analyze each selected soil physical and chemical properties. Slop analysis of the watershed was computed from the DEM using GIS technique. Results of the land suitability evaluation for surface irrigation showed that, a total area of 3064 ha (72.6%) was slightly suitable (S3) and area of 1154 ha (27.4%) was currently not suitable (N1). The limiting factors were slop, soil texture and drainage. For all land mapping units, chemical soil parameters such as CaCO3, ECe and pH, and the physical parameter (soil depth) were not limiting factors for surface irrigation in the study watershed. Therefore, the area is potential for irrigation production with some limitations and under proper management it can benefit the local community to meet the food demand. In order to sustainably develop the area for irrigation development; land leveling operation or soil conservation work has to be incorporated to break surface slope and to make it suitable for surface irrigation.

scholarly journals Applicability of Fuzzy and Fuzzy Analytic Hierarchy Process (Fuzzy AHP) Methods to Determine the Optimum Soil Depth in Land Suitability Evaluation for Irrigated Rice

2021 ◽  
Vol 54 (1) ◽  
pp. 103
Author(s):  
Nafiseh Yaghmaeian Mahabadi ◽  
Shahram Mahmoud Soltani
Keyword(s):  
Analytic Hierarchy Process ◽  
Soil Depth ◽  
Fuzzy Ahp ◽  
Land Suitability ◽  
Analytic Hierarchy ◽  
Irrigated Rice ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Fuzzy Methods ◽  
Hierarchy Process

<p>The conventional Boolean logic models of land suitability assessment disregard the continuity concepts of the soil and landscape which might cause inaccurate evaluation and classification. To overcome this uncertainty and consequent constraints, the fuzzy set theories were introduced. Therefore, the current study was undertaken to estimate the optimum soil depth that is used in land suitability evaluation for irrigated rice through the fuzzy sets theory and analytic hierarchy process (fuzzy AHP) in Guilan Province, Iran. The square root and quantitative land suitability evaluation methods were employed to calculate traditional land suitability indices (for depths, 0-25, 0-50, 0-75, and 0-100 cm). Also, fuzzy and fuzzy AHP methods were used to explore new land indices. The Sarma similarity indices were used to compare the results of traditional and fuzzy methods for different soil depths. The results showed that the compatibility percentage between the representative pedons (0-100 cm) and the findings of this research (0-50 and 0-75 cm) were remarkable. Furthermore, the highest compatibility percentage of land suitability class was related to the comparison of these two former depths and 0 to 100 cm depths in each of the two used fuzzy methods. Besides, except for 0-25 cm depths, actual yield revealed a significant and positive correlation with the rest three soil pedon depths. These findings show that considering 0 to 50 cm soil depth might be a relevant alternative as the optimal depth to evaluate land suitability for rice in paddy fields in the Guilan rice-growing area. </p>

scholarly journals Assessment of different methods of soil suitability classification for wheat cultivation

2012 ◽  
Vol 29 (2) ◽  
pp. 47-54 ◽  
Author(s):  
Amin Sharififar
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Crop Production ◽  
Land Suitability ◽  
Land Evaluation ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
North East ◽  
Wheat Cultivation ◽  
The Impact

Abstract This study investigated the impact of soil temperature and soil moisture on the virulence To protect soil resources and also to achieve optimal crop production, it is essential to dedicate the most suitable land to a specific land use. Achieving this goal is possible through land use planning in conjunction with land evaluation. In this study a land suitability evaluation was carried out for wheat (Triticum aestivum) cultivation, and was performed in the Bastam region located in the north east of Iran. 104 soil profiles were sampled and 11 land units were separated. In order to find out the most correct method of physical land suitability evaluation, three methods of combining soil criteria for soil index calculation for wheat production were tested. These methods are based on parametric and maximum limitation approaches, and the results of each method were compared with the observed yield. Ultimately, the maximum limitation method was found to be the best method and was used for classification of the suitability of the study area lands for wheat cultivation. The varying results of applying different ways of evaluation in this study indicate that the accuracy of the method of land evaluation adopted should be checked before using the results for any purposes.

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