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.

scholarly journals Developing a User Friendly Decision Tool for Agricultural Land Use Allocation at a Regional Scale

2017 ◽  
Vol 11 (5) ◽  
pp. 11 ◽  
Author(s):  
Sumbangan Baja ◽  
Samsu Arif ◽  
Risma Neswati
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Land Suitability ◽  
Soil Survey ◽  
Agricultural Land Use ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Land Use Allocation ◽  
User Friendly

Agricultural land use planning should always be guided by a reliable tool to ensure effective decision making in the allocation of land use and activities. The primary aim of this study is to develop a user friendly system on a spatial basis for agricultural land suitability evaluation of four groups of agriculture commodities, including food crops, horticultural crops, perennial (plantation) crops, grazing, and tambak (fish ponds) to guide land use planning. The procedure used is as follows: (i) conducting soil survey based on generated land mapping units; (ii) developing soil database in GIS; and (iii) designing a user friendly system. The data bases of the study were derived from satellite imagery, digital topographic map, soil characteristics at reconnaissance scale, as well as climate data. Land suitability evaluation in this study uses the FAO method. The study produces a spatial based decision support tool called SUFIG-Wilkom that can give decision makers sets of information interactively for land use allocation purposes.This user friendly system is also amenable to various operations in a vector GIS, so that the system may accommodate possible additional assessment of other land use types.

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.

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 Optimization of the Weighted Linear Combination Method for Agricultural Land Suitability Evaluation Considering Current Land Use and Regional Differences

2020 ◽  
Vol 12 (23) ◽  
pp. 10134
Author(s):  
Shouqiang Yin ◽  
Jing Li ◽  
Jiaxin Liang ◽  
Kejing Jia ◽  
Zhen Yang ◽  
...  
Keyword(s):  
Land Use ◽  
Regional Differences ◽  
Agricultural Land ◽  
Land Suitability ◽  
Spatial Accessibility ◽  
Combination Method ◽  
Soil Conditions ◽  
Weighted Linear Combination ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation

This study was aimed at optimizing the weighted linear combination method (WLC) for agricultural land suitability evaluation (ALSE) through indicator selection, weight determination, and classification of overall suitability scores in Handan, China. Handan is a representative research area with distinct agricultural advantages and regional differences in land use, where the expansion of construction land has led to a rapid decrease of agricultural land in recent years. Natural factors (topography, climate, soil conditions, and vegetation cover) and socioeconomic factors (land use and spatial accessibility) were selected to establish a more comprehensive evaluation system. The index weight was calculated by the mutual information between index suitability and current land use. The consistency index was used to identify the boundary value dividing the overall suitability score into a suitable category and unsuitable category in each sub-region. The results demonstrated that the optimized WLC-ALSE model outperformed the comparison models using conventional methods in terms of the consistency between the evaluation results and current land use. Owing to the increasing limitations of topography, soil conditions, spatial accessibility, and land use, the proportions of suitable land in Zone 1, Zone 2, and Zone 3 were 77.4%, 67.5%, and 30.9%, respectively. The agricultural land unsuitable for agriculture (14.5%) was less than non-agricultural land suitable for agriculture (7.4%), indicating that agricultural land had low growth potential in Handan. Finally, specific recommendations were made to improve agricultural land suitability, alleviate land use conflicts, and further optimize the model. The results can provide effective guidance for WLC-ALSE and land use decision-making for sustainable agriculture.

scholarly journals Climate, soil and land-use based land suitability evaluation for oil palm production in Ghana

2016 ◽  
Vol 81 ◽  
pp. 1-14 ◽  
Author(s):  
Tiemen Rhebergen ◽  
Thomas Fairhurst ◽  
Shamie Zingore ◽  
Myles Fisher ◽  
Thomas Oberthür ◽  
...  
Keyword(s):  
Land Use ◽  
Oil Palm ◽  
Land Suitability ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation

scholarly journals Land suitability assessment for improved land use planning in selected watersheds of Haryana

2021 ◽  
Vol 42 (2) ◽  
pp. 285-294
Author(s):  
J. Sahoo ◽  
◽  
mr. Dinesh ◽  
A. Dass ◽  
M.A. Bhat ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Arid Region ◽  
Crop Production ◽  
Land Suitability ◽  
Available N ◽  
Suitability Assessment ◽  
Land Suitability Assessment ◽  
Semi Arid Region ◽  
Semi Arid

Aim: The current study aimed to evaluate the capacity and suitability of land for semi-arid region of Haryana in selected watersheds to identify the major limitations of crop production. Methodology: The study was carried out in Bhiwani district of Haryana in 2017 where eight typical pedons (P) representing four micro-watersheds viz., Motipura (P1 and P2), Sainiwas (P3 and P4), Jhumpa (P5 and P6), Budhsheli (P7 and P8) were studied. Results: The studied pedons were neutral to alkaline in reaction (pH 6.87-9.10), non-saline (EC 0.02-0.21 dS m-1) and low in organic carbon (OC) (0.06-0.27%). Available N, P, K and S were low (42.00-189.00 kg ha-1), low to medium (4.20-17.10 kg ha-1), low to high (62.20-326.50 kg ha-1) and low (0.40-19.20 mg kg-1) in the studied pedons, respectively. Soils were deficient in available Fe and Zn but marginal to sufficient in available Mn and Cu. Interpretation: Soils were classified as IIsf and IIItsf and S3s and N1s according to LCC and irrigation suitability, respectively. The pedons were found suitable (S1) to moderately suitable (S2) for guar (cluster bean), oilseeds (mustard), moderately suitable (S2) to marginally suitable (S3) for pearl millet, gram and forestry, and marginally suitable (S3) for cotton and wheat. Key words: Land suitability, Nutrients, Pedon, Semiarid, Watershed

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