Capability Classification Research Articles

COMPARATIVE ASSESSMENT OF TROPICAL RAINFOREST SOILS FORMED FROM DIFFERENT GEOLOGIC FORMATIONS IN SOUTHEASTERN NIGERIA

Data on the nature, properties and potentials of soils is grossly inadequate in the rainforest belt of southeastern Nigeria. As such, policymakers and other land users have tended to subscribe to unduly generalized ideas about the soils of the region. This has led to improper land use planning and aggravated land degradation. This necessitated the need for the comparative evaluation of the nature and potentials of the soils of the region to determine their degree of variability. Profile pits were dug in four towns underlain by different geologic formations: Umungwa (Benin Formation), Umuawa Ogii (Nsukka Formation), Ikpem (Igbaku Sandstones) and Amuro (Imo Clay Shales). The soils were characterized and classified using the World Reference Base for Soil Resources (WRB), United States Department of Agriculture (USDA) Soil Taxonomy and land capability classification. The variability of soils across the different sites was subsequently analysed using the coefficient of variation (CV). The results show that the variability of sand across the study sites was moderate (20 – 21 %), silt was high (63 %), clay ranged from moderate (34 %) to high (52 %), while hydraulic conductivity was very high (128 – 144 %). Similarly, with regards to the chemical properties, soil pH and base saturation ranged from moderate (20 – 49 %) to high (52 %), while effective cation exchange capacity (ECEC) and aluminium saturation were high (70 – 77 %). It was concluded that the soils of southeastern Nigeria are very heterogeneous. Undue generalization should consequently be discouraged.

Evaluation for Some Soils of Al-Bahariya Oases and The Optimal Planning for Their Agricultural Exploitation تقييم بعض أراضي الواحات البحرية والتخطيط الأمثل لاستغلالها زراعيا

The aim of this investigation is to study the characteristics of Al-Bawoiti soils for evaluating their capability and suitability for growing main crops using Remote Sensing (RS), Geographic Information Systems (GIS), and Sys, Model. Thirty-one representative soil profiles were selected. The profiles were morphological described and samples were collected representing the vertical variation for different laboratory analysis. According to the RS and GIS works three geomorphic units are recognized. These units are depression plain (18.06%), Aeolian plain (28.9%), and Pediplain (53.04%). The correlation between geomorphic unit and soils was carried out and then the soil maps where created using the ArcGIS 10.4.1 software. Based on the soil characteristics, the studied soil were evaluated according to their suitability for agriculture. In the current situation, they categorized into their capability classes namely, moderately suitable (S2=1.88%), marginally suitable (S3=85.87%), and not suitable (N=12.24%). These soils are suffering from limitations of texture class, salinity and alkalinity, topography and soil depth with different intensity degrees (slight, moderate, and severe). The severity of these limitations could be corrected by future land improvement according the potential suitability of the most studied soils could be improved to highly suitable (S1=0.2%), moderately suitable (S2=25.97%), marginally suitable (S3=73.53%), and not suitable (N2= 0.3%).Moreover, the suitability of 18 main crops in these soils was evaluated in the current and potential situation. The potential suitability of the soils for these crops could be improved according to the satisfaction conditions between soil properties and crops requirements. Keywords: Remote Sensing (RS), Geographic Information Systems (GIS), Land Evaluation.

Planning For Land Use Based on Sustainable Agriculture in the Krueng Peutoe, (Watershed) North Aceh Regency, and Aceh Province

The Krueng Peutoe watershed located in North Aceh district is one of the sub-watersheds of the Jambo Aye watershed. The purpose of this study is to develop a plan for sustainable agricultural land use in the Krueng Peutoe watershed. The method used consists of 1) overlay map, 2) field survey, 3) evaluation of land capability, 4) evaluation of cropping and agrotechnology patterns, 5) erosion prediction, 6) socioeconomic analysis, and 7) cropping and agrotechnology recommendation. The results showed that, evaluation of land capability classification (KKL) II with slope limiting factor be discocered inhomogeneous land units (SLH) 15 and 10, KKL III with slope limiting and erosion factors at SLH 16, slope limiting factor at SLH 1, 5, 9, and 12. KKL VI with slope limits factors in SLH 3, 4, 6, 7, 8, 14, and KKL VII with slope limiting factors in SLH 17. The results of erosion prediction in mixed gardens were 14.56 - 403.82 tons/ha/year and greater than tolerance erosion (ETol) (23.03 - 39.60 tons/ha/year), resulting in a decrease in land productivity where farmers' income ranges from 754,000 IDR - 7,434,000 IDR/KK/year. With the improvement of cropping patterns followed by agrotechnology and the addition of side businesses (the results of calculations), there was a decrease in the value of erosion to 1.09-30.28 tons/ha/year followed by an increase in farmer's income (10,267,200 IDR - 12,441,060 IDR/KK/year). The result of planting pattern recommendation as follows: KKL II and III need to be worked improvement of planting pattern and agrotechnology. KKL VI carried out the application of agrotechnology with the planting of terrace reinforcing plants and planting according to contour. The use of forest land in the same class is recommended nonetheless as a forest, while the use of land for shrubs in the same class is recommended for pasture.

Development of a Spatial Model for Soil Quality Assessment under Arid and Semi-Arid Conditions

Food security has become a global concern for humanity with rapid population growth, requiring a sustainable assessment of natural resources. Soil is one of the most important sources that can help to bridge the food demand gap to achieve food security if well assessed and managed. The aim of this study was to determine the soil quality index (SQI) for El Fayoum depression in the Western Egyptian Desert using spatial modeling for soil physical, chemical, and biological properties based on the MEDALUS methodology. For this purpose, a spatial model was developed to evaluate the soil quality of the El Fayoum depression in the Western Egyptian Desert. The integration between Digital Elevation Model (DEM) and Sentinel-2 satellite image was used to produce landforms and digital soil mapping for the study area. Results showed that the study area located under six classes of soil quality, e.g., very high-quality class represents an area of 387.12 km2 (22.7%), high-quality class occupies 441.72 km2 (25.87%), the moderate-quality class represents 208.57 km2 (12.21%), slightly moderate-quality class represents 231.10 km2 (13.5%), as well as, a low-quality class covering an area of 233 km2 (13.60%), and very low-quality class occupies about 206 km2 (12%). The Agricultural Land Evaluation System for arid and semi-arid regions (ALESarid) was used to estimate land capability. Land capability classes were non-agriculture class (C6), poor (C4), fair (C3), and good (C2) with an area 231.87 km2 (13.50%), 291.94 km2 (17%), 767.39 km2 (44.94%), and 416.07 km2 (24.4%), respectively. Land capability along with the normalized difference vegetation index (NDVI) used for validation of the proposed model of soil quality. The spatially-explicit soil quality index (SQI) shows a strong significant positive correlation with the land capability and a positive correlation with NDVI at R2 0.86 (p < 0.001) and 0.18 (p < 0.05), respectively. In arid regions, the strategy outlined here can easily be re-applied in similar environments, allowing decision-makers and regional governments to use the quantitative results achieved to ensure sustainable development.

The societal benefits of vehicle connectivity

Connected vehicles (CV) comprise a broad class of capabilities enabled by automobiles, other vehicles, and components of the roadway system communicating with each other. A fast growing commercial market, CV has the potential for significant, but heretofore under-explored societal benefits. This study employs a scenario analysis to estimate environmental, health, access, and equity outcomes from widespread deployment of CV in the United States by 2035. A Mobility for All scenario, envisioning favorable policy and optimistic assumptions about technology progress, provides significant societal benefits. Two alternative scenarios, Mobility in Transition and Fragmented Mobility, provide environmental benefits similar to one another, but the latter degrades health, access, and equity for most of the population. The scenarios suggest that CV’s most significant societal benefits arise from its interactions with automation and electrification and that enhancing equity in any push towards CV represent a low-regrets option for public, private, and civil society actors.

Sustainability of Horticulture in Agriculture Era 4.0 in Lembang Sub-district, West Java

Horticulture in Lembang Sub-district seems to be threatened with unsustainability due to urban expansion in Bandung Metropolitan Area. This urban expansion causes a land conversion and puts farmers at risk of losing their arable land. In Agriculture Era 4.0, horticulture management should be integrated with the Internet of Things (IoT), so it can survive amid the urban expansion. Hence, this research aims to analyze the sustainability of horticulture in the current Agriculture Era 4.0 by knowing the spatial distribution of horticulture and land capability class in Lembang Sub-district. The data was collected through field surveys, questionnaires, and in-depth interviews. While the methods were performed by visual interpretation and overlay using ArcGIS and RAP-FARM/MDS. Results showed that 3,079.03 ha was classified as horticulture with vegetables as the dominant cultivated. Based on the horticultural distribution and land capability class, the sustainability index of horticulture were: 54.27 (horticulture in class III), 54.47 (horticulture in class IV), and 44.11 (horticulture in class VI). Horticulture in class III and class IV has quite sustainable status, while class VI has less sustainable status. This study results can be taken into consideration in determining spatial planning for sustainable horticultural development in Lembang Sub-district.

Studying soil erosion by evaluating changes in physico-chemical properties of soils under different land-use types

The effects of different land-use types on physicochemical properties and erodibility indices in suitable utilization of soil are the most important issue to be investigated. That’s why the current study was carried out to investigate changes in physical, chemical soil properties and erodibility indexes under different land-use types i.e., larch-fir forests, adjacent pasture, and riparian areas. Soil samples were collected from different land use in the Meydan Pond micro-basin. Five subsamples were taken at the 0–10 cm depth at five different sampling spots in each one of the three land-use systems (i.e., forest, pasture, and riparian areas). Results showed that silt content was around 38% higher in the forest soils over pasture and the riparian areas. Dispersion rate (80%) and erosion ratio (11%) were significantly higher in riparian areas over the pasture. In conclusion, pasture soils are resistant to erosion due to the higher amount of clay percentage (95%) and aggregation rate (38%) as compared to riparian areas that are more erodible. It is concluded that the river basin should be arranged according to the land capability classes’ principles to protect the soil's fertile layer from erosion to achieve the maximum productivity of crops.

Landslide Risk Analysis on Agriculture Area in Pacitan Regency in East Java Indonesia Using Geospatial Techniques

Pacitan is one of the regencies in East Java Province, dominated by hills and mountain landforms covering 85% of its area. Since 2011, more than 16 landslides have occurred significantly in this area. These disasters have engulfed more than 350 ha of agricultural land in Pacitan. This study analyzed the risk of future landslides due to land use change. The parameters used were rainfall, slope, topography, geology, soil, and land use which were assessed and weighed by the Paimin method. Land-use classification from Landsat 8 OLI in 1998, 2008, and 2018 were analyzed using regression formula to calculate the trend of change in 2030. Land use was also classified from the land capability classification (LCC) and regional spatial planning (RSP) as land use options in 2030. The results showed that land use changed over time due to the changes in landslide hazards, which increased three-foldfrom 1998 to 2018 and will peak tremendously in 2030. There are 29.47 ha of agricultural land in 2018 that have a high potential landslide hazard if no intervention is made. The accuracy for prediction of the 2018 data mapping was 82%. The LCC strategy suggests land use planning to reduce a high level of the landslides.

Developing land capability to reduce land degradation and disaster incident in Bendo Watershed, Banyuwangi

Land degradation have caused decline in land productivity and triggering landslide incident in Bendo Watershed. This area has been selected as study area which represent characteristic upland area of the region. The research examines land capability analysis in order to reduce land degradation and disaster incidents and for sustainable use of land resources. The geomorphology approach was used along with sixteen of landform unit as unit sample. Further, artificial neural network models were used to classify land capabilities. Network architecture 10-8-1 was used on classification process due to the lowest error value factors. The findings of the study present that 20, 46% of Bendo watershed are prone to land degradation. Physical characteristic within area are contributing increasing land degradation. The capability classes of Bendo watershed ranges from class II to class VII. The upstream areas have erosion and intensive landslides as its limited factors, hence tend to have poor land capability classes. While the middle to downstream areas of Bendo watershed have better land capability classes with more diverse land use recommendations.

Quantitative Evaluation of Soil Fertility Constraints in a Semi-Arid Ecosystem of North Telangana Plateau by Employing Fertility Capability Classification System

Quantitative Evaluation of Soil Fertility Constraints in a Semi-Arid Ecosystem of North Telangana Plateau by Employing Fertility Capability Classification System

Distribution and Land Capability Classification of Soils in Wadi Watir Delta, Gulf of Aqaba, Sinai, Egypt

Distribution and Land Capability Classification of Soils in Wadi Watir Delta, Gulf of Aqaba, Sinai, Egypt

Characteristics, Fertility Status and Fertility Capability Classification of Steep Slope Soils of the Dschang Cliff (Cameroon Western Highlands)

Mountainous ecosystem soils are subject to colonization nowadays for agricultural purposes due to an increasing population in towns making the detailed characterization of such soils indispensable. This work aims to characterize the steep slopes soils of the Dschang hills and to evaluate their fertility level for agricultural valorization. Thus, four soil profiles were dug at various topographic positions (summit (SP), shoulder (MP), backslope (BP) and footslope (PP)) following a toposequence. Samples of disturbed and undisturbed soils were taken and analyzed in the laboratory according to standard methods. The Fertility Capability Classification (FCC) and simple limitation methods were used to identify major agricultural constraints. The main results show that profiles thickness is moderate, between 0 and 120 cm, with a high sand content (at least 50%) over the entire toposequence, especially at the surface. The study site has four types of soils, namely Eutric Cambisols (ochric) in SP and Leptic Eutric Cambisols (Humic) in MP, Eutric Cambisols (Humic) in BP and Stagnic Oxygleyic Dystric Gleysols (Humic) in pp. The soils are very acidic at PP, moderately acidic at BP and SP and slightly acidic at MP. Organic matter is higher at the surface than at depth at the topographic segments of MP, BP and PP and low to SP. The C/N ratio is high (>17) in all profiles except P4 ( exchangeable bases, total nitrogen and available phosphorus is low in all profiles. The Ca/ Mg/K balance in all the profiles shows a cation imbalance and a relatively high concentration of exchangeable potassium compared to the ideal situation (76% Ca, 18% Mg and 6% K). The major constraints to crop production are: aluminum toxicity (a) and nutrients leaching (e), textural discontinuity (LS), flooding (g), low nutrient reserve (k), sand (S), clay (C) and slope (t). Hence the fertility capacity classes of these soils are CCaegk (PP), SSek (BP), SSte (MP) and LSaek (SP). To improve the yield, it will require off-season crop cultivation, fertilization and liming, and earthworks.

‘Tolerable’ Hillslope Erosion Targets To Maintain Sustainable Land Management Across New South Wales, Australia

Hillslope erosion is the dominant form of erosion in Australia and many parts of the world. ‘Tolerable’ hillslope erosion or tolerable soil loss (TSL) targets needs to be established considering the inherent physical capacity of the land to sustain specific land uses and management practices without degradation to soil, land, air and water resources. The existing methods on TSL estimation vary greatly over different regions and applications, and few practical and dynamic methods are available. In this study, we explored a dynamic approach to set TSL and vegetation cover targets across the state of New South Wales (NSW), Australia considering the prevailing hillslope erosion and the sustainable erosion level. Over 20-year fractional vegetation cover and rainfall erosivity time-series have been used to determine the hillslope erosion and the TSL targets monthly and the 50 th percentile was set as the target. Consequently, the monthly vegetation cover levels have been set to sustain the TSL targets on a pixel-by-pixel (100 m) basis. We further assessed the TSL targets against the land and soil capability classes and their spatial and temporal variation across NSW Local Land Services regions. The findings help to identify the locations and times with hillslope erosion exceeding a tolerable threshold value across NSW. This approach is practical, semi-quantitative and portable as the input datasets are widely available, thus providing a useful tool to determine varying TSL values for sustainable soil and land management at any location and period.

Land suitability evaluation in yaadhalli-1 microwatershed of Yadgir taluk and District of Karnataka, India, using remote sensing and geographical information system (GIS) tools

In present investigation, five soil series were identified and mapped into eleven mapping units using GIS technique in Yaadahalli-1 microwatershed of Yadgir Taluk and District of Karnataka, India. The soils were varied from deep to very deep in depth, sandy clay loam to sandy clay in texture, very gently sloping, moderate erosion and non gravelly in nature. These soils were grouped into land capability class II (87%) and IV (2%) with limitations of soil characteristics and erosion. Land suitability evaluation showed a maximum area under highly suitable (S1) land for growing agricultural (sorghum, sunflower, Bengal gram and cotton) and horticultural (brinjal, onion, Bhendi, musambi, lime and custard apple) crops followed by moderately suitable (Class S2) land with minor limitations of texture, rooting depth, drainage and calcareousness. The marginally suitable (Class S3) land covers a minimum area with major limitations of rooting depth, gravelliness, texture and calcareousness. Currently not suitable (Class N1) land covers a negligible area with severe limitations of rooting depth and gravelliness. The results of this study could be used to provide the baseline information needed for mapping specific soil resource constraints for sustainable production of these crops in the study area. Therefore, the integration of remote sensing & GIS techniques could be envisaged as a laudable resource sustainable approach to model the growth of these crops in order to enhance profitable land use planning decision support for sustainable crop production in the study area.

The Implications of Spatial Variations in Geographic Location, Geology and Pedology on Food Security in the Southeast Nigeria

The explanation of the associations and variations in geographic location, pedology and geologic formations for effective policy framework towards sustainability food production in Southeast Nigeria is the central objective of this study. The study area was stratified into five states. Data on textural classes were systematically collected from three states and at eight sampled points using commerce, wetland and non-wet land agricultural areas as indices and analyzed using laboratory and geo-spatial tools. The results indicated that pedologic characteristics of the study area vary with geographic spaces but particle size was dominated by sandy loam. The multivariate analysis of variance, tests of variations, homogeneity, and overlapping variances revealed that variations among geographic space and geologic formations have significant effect on the distribution of pedologic characteristics in the Southeast. Also, the spatial variabilities of geographic location, geology, and pedology in the southeast suggest dynamics in land capability class for crop yields which constitute major issue to agricultural development and the corresponding food security. The dominance of sandy loam soil is an indicator of the prevalence of class A and class B land (soils) while qualitative interview affirmed that most farmers still relied on the natural fertility of the soil for crop production, but the quality and quantity of their produced were often hampered by traditional/small size holdings. To sustain food security for the teeming population, this study recommended for massive evaluation of physicochemical and bio-geochemical properties of soil in the Southeast to provide basis for farmers’ choice of crops; creation of more awareness and education of farmers on the type of crops that can yield better under certain pedo-geographic and geologic formations.

Land suitability evaluation of crops that form agroforestry in tanralili district maros regency

In Maros Regency, especially Tanralili District, some people do not only farm on paddy fields, but also on land planted with trees, such as gardens in the yard, commonly called agroforestry. This study aims to decided land suitability classes for agricultural and forestry, and analyze limiting factors in developing agroforestry in Tanralili District. The methods used in this study were land survey, soil sampling, laboratory analysis, and matching methods to evaluate land capacity and land suitability for peanut and sengon in 10 land units from work maps. The results of this study show that land capability classes in Tanralili that can be pursued for agroforestry systes are class III and IV, with limiting factors such as slopes, erosion, rocks, soil texture, and rooting condition in sub-class III, and drainage factor in sub-class IV. The actual land suitability class for Peanut is S3 (marginally suitable) and class N (unsuitable), and for Sengon is S2 (moderately suitable), S3 (marginally suitable) and N1 (unsuitable for now). The threat of erosion is a limiting factor that can inhibit optimal growth of peanut and sengon. Nutrition availability affects inhibition of peanut. Water availability and the rooting condition and land preparation becomes limiting factors for Sengon.

Land Evaluation for Alternative Crops of Alfalfa Using GIS in south Hail, Saudi Arabia

The assessment of soil suitability for sustainable intensive agriculture is important for the selection of land suitable for agricultural production with the least economic and environmental costs. This study was directed to evaluate agricultural soil suitability in the south of Hail province, Saudi Arabia to suggest alternative crops of alfalfa using the Agricultural Land Evaluation System for arid regions (ALES-Arid) model and Geographic Information System (GIS). The study area covers about 77558 ha and 111 soil samples were collected from 37 profiles and 37 groundwater samples were analyzed for physical, chemical and fertility properties. To evaluate land suitability for selected crops, the FAO guideline was used and also to analyze and map soils within the study area, the GIS was employed. The main research goals were to characterize the soil and water resources of the study area, in order to plan the best alternative crops of alfalfa using land evaluation facilities for different purposes (capability and suitability). The results indicated that the soils of the area are characterized by sandy loam texture, low fertility, low total carbonate and most of the area have moderate to high salinity soil. Capability classes of the area are C3 and C4 which covers about 89.19% and 10.81% of the total area, respectively. The most fertile classes were situated in C2 and C3 which covers 37.84 and 40.54% of the area with phosphorus and potassium limitation. The land suitability results show that 99.68, 97.18 and 85.37% of the area is classified as S1 (highly suitable) for wheat, barley and alfalfa, respectively; while 98.91% of the area is classified as S3 (marginally suitable) for maize. From the obtained data, growers are advised to cultivate barley or wheat in winter and maize in summer instead of alfalfa, in order to save irrigation water. This is also because the expected productivity of either wheat or barley is high. It is important for decision makers to determine the best way of using land for agricultural purposes, since it serves as a decision and planning support.

Determination of Land Capability Classes of Some Soils Developing on Alluvial Lands

Bu çalışma kapsamında, Antalya ili Aksu ilçesi Hacıceliller ve Köseler köylerinde, Aksu çayının üst ve orta zonlarında, alüviyal arazilerin detaylı toprak etüd ve haritalama çalışmaları yapılmıştır. Tarımsal açıdan kıymetli olduğu düşünülen arazide, üç faklı fizyografya üzerinde dokuz farklı toprak serisi tanımlanmıştır. Bu serilerinden Tepelik, Tepeönü ve Çakıllı nehir sırtı fizyografyasında, Desteiçi, Domuztepesi, Fettanlar, Köseler ve Yeşilyurt yan dere alüviyali fizyografyasında ve İçmesuyu serisi de taşkın düzlüğü fizyografyasında yerini almıştır. Çalışma alanı 250 x 250 m aralıklarında gridlere ayrılarak seri-faz düzeyinde tanımlanmış ve elde edilen verilere göre de arazi yetenek sınıfları oluşturulmuştur. Yapılan arazi değerlendirmeleri sonucunda, nehir sırtı fizyografyası üzerinde yer alan arazilerin, çalışma alanının %43.5’ünü oluşturduğu ve Arazi Yetenek Sınıflamasına göre, I., II., IV. ve VI. sınıflarda yer aldıkları belirlenmiştir. Çalışma alanının %33.3’ünü oluşturan yan dere alüviyal fizyografyası üzerinde ise I, II ve III. sınıf arazilerin dağılım gösterdiği tespit edilmiştir. Son olarak taşkın düzlüğü fizyografyası, alanın %23.2’lik bir kısmını kaplayarak, II. ve III. sınıf araziler olarak tanımlanmıştır. Grid noktalarının verileri, jeoistatistiksel olarak kriging metodu ile değerlendirilerek, çalışma alanına ait arazi yetenek sınıflaması haritası oluşturulmuştur. Sonuç olarak, yapılan bu çalışma ile, farklı fizyografyalarda gelişen toprakların yetenek sınıflarının belirlenmesi ve haritalanması ile ideal arazi kullanım planlamalarına bir altlık oluşturulmuş ve amaç dışı kullanıma engel olmak için bilimsel bir dayanak hazırlanmıştır.

Land capability assessment of Ghaggar river basin using integrated remote sensing and geographical information system approach – A Case Study

The increased anthropogenic activities lead to reduction of the actual as well as potential agricultural productivity by intensifying the land degradation process. Therefore, mismatch arises between the capability of a land and landuse due to this land degradation. The present study was carried out to classify the Ghaggar river basin area as per its capabilities at Banasthali University during 2020. The slope, soil depth, texture, drainage conditions, stoniness and the extent of erosion were used to assess the land capability. The analysis resulted in the presence of seven land capability classes (I-IV and VI-VIII) in the Ghaggar river basin. The areal distribution of the arable (I to IV) and non-arable (VI to VIII) land capability classes within the study area was 51.9 and 48.1 %, respectively. The individual distribution of the area under I, II, III, IV, VI, VII and VIII land capability classes were 14.9, 15.2,9.3,12.6,26.7,20.5and 0.9 %, respectively. Although the agricultural activities are recommended in the capability classes I to IV but about 47.1 % of the agricultural activities are also extended in the VI to VIII capability classes. On the contrary, land use classes such as built-up, shrub-land, forest, etc. were present in I to IV classes which were capable for annual crop cultivation

Application of Soil Fertility Capability Classification (FCC) in Dry Semi Arid Land of South Telangana Plateau, Andhra Pradesh

ABSTRACT Soil fertility capability classification (FCC) is a system of representing soils with a set of physical and chemical properties particularly fertility-related constraints of topsoil as well as sub-soil as which directly influences plant growth and production. An investigation was undertaken to study the soils in detail in a 1:10000 scale survey. Soils were classified into 10 series and 53 mapping units as per soil taxonomy based on morphological, physical, and chemical properties. Soil fertility capability classification was applied to all the identified soils from different land-use systems of the south Telangana plateau. The major soil constraints identified through condition modifiers in the descending order were dry soil moisture (d: 100%), gravelliness (>35%) (r++: 51.68%), low K reserve (k: 34.07%), basic reaction (b: 32.58%), low organic carbon content (m: 24.05%), acidity (h: 23.01%), low cation exchange capacity (e: 16.81%), and gravelliness (10–35%) (r+: 13.48%). The limitations identified in specific landform and land use through condition modifiers help to combat the deterioration of land quality and also helps to implement suitable land management practices for elevated production and productivity apart from reducing land degradation and erosion besides.