scholarly journals Criteria, normative parameters and pedotransfer models for precise tillage

2014 ◽  
Vol 15 (3-4) ◽  
pp. 12-24
Author(s):  
V. V. Medvedev
Keyword(s):  
Physical Properties ◽  
Spatial Heterogeneity ◽  
Spatial Information ◽  
Penetration Resistance ◽  
Forest Steppe ◽  
Statistical Parameters ◽  
Spherical Type ◽  
Physical Clay ◽  
Functional Parameters ◽  
Base Parameters

As object the field by the area of 40 hectares in Forest-steppe of the Kharkiv area on which three types of soil are allocated - chernozem typical poorly eroded, chernozem podsolic and dark grey podsolic. The regular network from 45 elementary plots on a field have put. On everyone them the contents of physical clay and total humus (in the subsequent models it there were base parameters), and also equilibrium bulk of density, penetration resistance, blocks (functional parameters) and the crop are considered. Statistical parameters and geostatistics are calculated. Results of processing of the spatial information were those. Factors of pair and plural correlation between base and functional parameters - within the limits of 0,5-0,8, factors of a variation - low for the content of humus, physical clay and bulk of density, moderately high for penetration resistance and very high - for block. The variogam - mainly spherical type, the nagget-effect was insignificant, and the radius of correlation has made about 240-260 m. Though variability of base parameters was moderate, and functional raised, presence of autocorrelation function, that is its authentic deviation from zero, proves existence of spatial heterogeneity on the investigated field. About same obvious peaks on curves of spectral density of a dispersion testify. It means, that connections between base and functional parameters were encouraging enough, their spatial structures in the investigated field relatives, and search of borders between allotments with various fertility, it has appeared quite proved and successful.  The final stage of processing consisted in construction of 2-D-diagrams on experimental data (with use of software Surfer), and then the same diagrams of blocks, bulk of density and of penetration resistance (as indicators of preseeding precise tillage) on settlement pedotransfer models. Instead of difficult procedure of an establishment of spatial heterogeneity of a field and revealing on it of contours with various physical properties it is offered to take advantage of pedotransfer models. As the basis for this purpose close values of thresholds of a dispersion and radiuses of correlation, authentic correlation connections between soil base and functional parameters have served uniformity spherical variogrammes. For a choice of intensity of preseeding operations normative parameters for display physical properties of a sowing layer are proved. Revealed on the basis of settlement models and natural researches on a field agritechnology contours for differentiation of intensity of preseeding tillage have appeared similar enough on a configuration and the area. Thus, in article the basic opportunity of allocation on a field agritechnology groups for carrying out of various ways of machining, using for this purpose pedotransfer models is shown. Pedotransfer modelling can become actual only on condition that other, more simple and effective ways of measurement of base parameters will be found, it is desirable in modes in situ and on-line. Pedotransfer models are perspective in precise agriculture under condition of development of remote methods of definition of base parameters.

Spatial heterogeneity of physical properties of the soils in Ukraine

2016 ◽  
Vol 3 (1) ◽  
pp. 3-16
Author(s):  
V. Medvedev ◽  
I. Plysko
Keyword(s):  
Physical Properties ◽  
Spatial Heterogeneity ◽  
Bulk Density ◽  
Autocorrelation Function ◽  
Equilibrium Condition ◽  
Penetration Resistance ◽  
Forest Steppe ◽  
Regular Network ◽  
Modal Values ◽  
Experimental Plots

Aim. To investigate structural composition (lumpiness), bulk density and penetration resistance in soils of Polissia, Forest-Steppe and Steppe. Methods. The experimental plots were allocated on the fi elds in a regular network. The measurements performed before harvesting testifi ed to an equilibrium condition of soil physi- cal properties. The data ware processed by the geostatistical method. Results. The key parameters of spatial heterogeneity (variation factors, histograms, autocorrelation function, variogrammes, 2-D and 3-D diagrams, etc.) were received. The heterogeneity of physical properties, revealed in all soils, is characterized by moderate and increased values. As a result the investigated fi elds were divided into three agrotechnological groups by qualitative parameters of their physical properties. Conclusions. The recommendations on pre-sowing or basic tillage of various intensity – without tillage (if parameters are close to the requirements of the sown culture), with moderate tillage of zone type (if parameters are close to modal values) and with tillage of the enhanced intensity (if parameters are unsatisfactory and more intensive pre-sowing tillage is required) were formulated for each group.

scholarly journals Multiple linear and spatial regressions to estimate the influence of Latosol properties on black pepper productivity

2019 ◽  
pp. 857-862
Author(s):  
Waylson Zancanella Quartezani ◽  
Julião Soares de Souza Lima ◽  
Talita Aparecida Pletsch ◽  
Evandro Chaves de Oliveira ◽  
Sávio da Silva Berilli ◽  
...  
Keyword(s):  
Linear Regression ◽  
Physical Properties ◽  
Multiple Linear Regression ◽  
Multiple Regression ◽  
Spatial Information ◽  
Spatial Regression ◽  
Chemical Properties ◽  
Fine Sand ◽  
Black Pepper ◽  
Physical And Chemical

There is little knowledge available on the best techniques for transferring spatial information such as stochastic interpolation and multivariate analyses for black pepper. This study applies multiple linear and spatial regression to estimate black pepper productivity based on physical and chemical properties of the soil. A multiple linear regression including all properties of a Latosol was performed and followed by variance analysis to verify the validity of the model. The adjusted variograms and data interpolation by kriging allowed the use of spatial multiple regression with the properties that were significant in the multiple linear regression. The forward stepwise method was used and the model was validated by the F-test. The influence of the Latosol properties was greater than the residual on the prediction of productivity. The model was composed by the physical properties fine sand (FS), penetration resistance (PR), and Bulk density (BD), and by the chemical properties K, Ca, and Mg (except for Mg in the spatial regression). The physical properties were of greater relevance in determining productivity, and the maps estimated by ordinary kriging and predicted by the spatial multiple regression were very similar in shape.

scholarly journals Effects of Tractorization and Organic Manure on Physical Properties of Sandy Loam Soil in Abeokuta, Nigeria

2021 ◽  
Vol 17 (4) ◽  
pp. 295-300
Author(s):  
P.O.O. Dada ◽  
J.J. Musa ◽  
O.O. Olla ◽  
J.O. Ohu ◽  
J.K. Adewumi
Keyword(s):  
Physical Properties ◽  
Bulk Density ◽  
Sandy Loam ◽  
Swine Manure ◽  
Poultry Manure ◽  
Penetration Resistance ◽  
Organic Manure ◽  
Cow Dung ◽  
Penetrometer Resistance ◽  
Loam Soil

Soil compaction has effect on soil physical properties which could affect crop growth and yield. This study was conducted to determine the influence of incorporating organic materials and load application (tractorization) on the physical properties of sandy loamy soil in Abeokuta, Ogun State, Nigeria. Organic materials were cow dung, poultry and swine manure. Application rates of organic manures were 0 (control), 5 and 10 tonnes per hectare. Forty-five plots measuring 5 by 3 m were established in a complete randomized block experimental design with three replications making a total of 135 plots. Load application was done using an MF 435 tractor coupled with a 20-disc harrow at 0 (control), 5, 10, 15 and 20 passes. Penetration resistance, bulk density, gravimetric moisture content andporosity were determined using standard procedures. Penetrometer resistance at these passes were 392.2, 293.3, 285.0, 302.0 and 224.9 kPa respectively with significant differences between treatments (P≤0.05). Mean bulk density for the passes were 1.21, 1.26, 1.31, 1.27 and 1.29 g/cm3 respectively and bulk density increased with tractor passes. The effect of tractor passes, and manure incorporation rate did not have any significant effect on gravimetric moisture content. Poultry manure increased bulk density and penetrometer resistance on plots than swine manure and cow dung hence poultry manure at 10 t/ha can be incorporated on a sandy loam soil to enhance soil fertility and sustainability. Keywords: Tractorization, organic manure, sandy loam, penetration resistance, bulk density

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

2020 ◽  
Vol 50 (6) ◽  
pp. 93-105
Author(s):  
V. K. Kalichkin ◽  
O. M. Logacheva ◽  
A. A. Sigitov ◽  
L. V. Garafutdinova
Keyword(s):  
Decision Analysis ◽  
Spatial Information ◽  
Land Suitability ◽  
Forest Steppe ◽  
Analysis Method ◽  
Multi Criteria Decision Analysis ◽  
Agricultural Enterprise ◽  
High Resolution Satellite Images ◽  
Electre Tri ◽  
Hierarchy Analysis

The expediency of joint application of methods of multi-criteria decision analysis of (MCDA) and geoinformation systems (GIS) in order to assess the suitability of lands for cultivation of agricultural crops is substantiated. The implementation of this approach will make it possible to partially automate the process of assessing land. The studies were carried out on the territory of ZAO Mirny, Kochenevsky District, Novosibirsk Region (54°56′24″ N, 82°06′12″ E), located in the forest-steppe zone. Taking into account the peculiarities of the territory under consideration, the following criteria were selected for assessing suitability of lands: drainage condition, soils granulometric composition, contrast of soil cover, working areas elevation pattern, humus layer thickness, ploughness, terrain slope angle, exposure of slopes, erosion degree. The sources of spatial information were land management maps, soil and topographic maps, digital elevation model (DEM), SRTM, ultra-high resolution satellite images. The collection and processing of spatial information was carried out in QuantumGIS (QGIS), which has an open modular architecture. ELECTRE TRI and the hierarchy analysis method were selected for the analytical assessment of information within MCDA. For both methods, there are procedures that are integrated with QGIS. With the help of QGIS GIS tools, the land use of a particular agricultural enterprise was divided into working areas, their boundaries and areas were determined. A method for obtaining an attribute database is described for each criterion. An overview of the ELECTRE TRI methods and the hierarchy analysis method is given, and their launch procedures in QGIS are described. The criteria weights were obtained using the hierarchy analysis method (Easy АНР procedure in QuantumGIS), and the main result – the land suitability map (according to the FAO classification) – was obtained using the ELECTRE TRI method (ELECTRE TRI procedure for QuantumGIS). Since the result of the ELECTRE TRI procedure are two decision maps: according to the pessimistic and optimistic scenarios, additional studies were carried out, on the basis of which it was possible to establish that the map obtained according to the optimistic scenario has a greater consistency with the natural conditions of the agricultural enterprise.

scholarly journals Change of granulometric composition of drained soils of Male Polissia in the context of development of degradation processes

2018 ◽  
pp. 42-52
Author(s):  
Volodymyr Haskevych
Keyword(s):  
Physical Properties ◽  
Granulometric Composition ◽  
Water Regime ◽  
Sandy Loam ◽  
Arable Land ◽  
Clay Content ◽  
Natural State ◽  
Physical Clay ◽  
Groundwater Levels ◽  
Degradation Processes

Sod-podzolic (Albenuvisoils Gleyic), meadow (Gleyic Chernic Phaeozems) and sod (Arenosols) soils are typical for Male Polissia. In the natural state, these soils are waterlogged, characterized by unsatisfactory physical properties, unsuitable for agricultural use. After the drainage reclamation, the soils are intensively used as arable land, pastures, and hayfields. The drainage has led to a significant decrease in groundwater levels, increased the washing water regime, intensified the processes of lessivage, which affected the physical properties of soils, in particular, granulometric composition. In the reclaimed areas, aridification and deflationary processes intensified. In deflated sod-podzolic soils, the relief of granulometric composition has been reducing due to decrease in the content of sludge and fine dust in the arable horizons. Granulometric composition of soils undergoes more significant transformations as a result of the intensification of flushing water regime after drainage. The content of physical clay in the arable horizon of sod-podzolic fixed- sandy soils decreased by 1.63 %, and of the sandy loam soils – by 5.30–6.20 %. In the humus-accumulating arable horizon of meadow soils, the physical clay content decreased by 2.40–1.60 %, that of sod soils – by 1.27–6.39 %. Washing off with drainage waters of small granulometric fractions results in an increase in the content of sand fractions and facilitates the granulometric composition of soils, changes in soil gradation at the level of variety. Decrease in the content of physical clay causes deterioration of physical, physical-and-chemical, agronomic properties of soils, and therefore causes the development of degradation processes: non-structural, deflation, dehumification, degradation of water and air and nutrient regimes, aridification. This gave rise to the idea of referring to the granulometric composition facilitation of drained soils as “granulometric degradation” and classifying it as physical degradation of soils. Key words: Male Polissia, drainage reclamation, soils, granulometric composition, physical clay, granulometric degradation.

scholarly journals Leveraging spatial textures, through machine learning, to identify aerosol and distinct cloud types from multispectral observations

2020 ◽  
Author(s):  
Willem J. Marais ◽  
Robert E. Holz ◽  
Jeffrey S. Reid ◽  
Rebecca M. Willett
Keyword(s):  
Machine Learning ◽  
Spectral Properties ◽  
Infrared Imaging ◽  
Spatial Information ◽  
Training Data ◽  
Machine Learning Techniques ◽  
Orthogonal Polarization ◽  
Statistical Parameters ◽  
Moderate Resolution ◽  
Moderate Resolution Imaging Spectroradiometer

Abstract. Current cloud and aerosol identification methods for multi-spectral radiometers, such as the Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS), employ multi-channel spectral tests on individual pixels (i.e. field of views). The use of the spatial information in cloud and aerosol algorithms has been primarily statistical parameters such as non-uniformity tests of surrounding pixels with cloud classification provided by the multi-spectral microphysical retrievals such as phase and cloud top height. With these methodologies there is uncertainty in identifying optically thick aerosols, since aerosols and clouds have similar spectral properties in coarse spectral-resolution measurements. Furthermore, identifying clouds regimes (e.g. stratiform, cumuliform) from just spectral measurements is difficult, since low-altitude cloud regimes have similar spectral properties. Recent advances in computer vision using deep neural networks provide a new opportunity to better leverage the coherent spatial information in multi-spectral imagery. Using a combination of machine learning techniques combined with a new methodology to create the necessary training data we demonstrate improvements in the discrimination between cloud and severe aerosols and an expanded capability to classify cloud types. The training labeled dataset was created from an adapted NASA Worldview platform that provides an efficient user interface to assemble a human labeled database of cloud and aerosol types. The Convolutional Neural Network (CNN) labeling accuracy of aerosols and cloud types was quantified using independent Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) and MODIS cloud and aerosol products. By harnessing CNNs with a unique labeled dataset, we demonstrate the improvement of the identification of aerosol and distinct cloud types from MODIS and VIIRS images compared to a per-pixel spectral and standard deviation thresholding method. The paper concludes with case studies that compare the CNN methodology results with the MODIS cloud and aerosol products.

scholarly journals Leveraging spatial textures, through machine learning, to identify aerosols and distinct cloud types from multispectral observations

2020 ◽  
Vol 13 (10) ◽  
pp. 5459-5480
Author(s):  
Willem J. Marais ◽  
Robert E. Holz ◽  
Jeffrey S. Reid ◽  
Rebecca M. Willett
Keyword(s):  
Machine Learning ◽  
Spectral Properties ◽  
Infrared Imaging ◽  
Spatial Information ◽  
Training Data ◽  
Machine Learning Techniques ◽  
Training Dataset ◽  
Orthogonal Polarization ◽  
Statistical Parameters ◽  
Moderate Resolution Imaging Spectroradiometer

Abstract. Current cloud and aerosol identification methods for multispectral radiometers, such as the Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS), employ multichannel spectral tests on individual pixels (i.e., fields of view). The use of the spatial information in cloud and aerosol algorithms has been primarily through statistical parameters such as nonuniformity tests of surrounding pixels with cloud classification provided by the multispectral microphysical retrievals such as phase and cloud top height. With these methodologies there is uncertainty in identifying optically thick aerosols, since aerosols and clouds have similar spectral properties in coarse-spectral-resolution measurements. Furthermore, identifying clouds regimes (e.g., stratiform, cumuliform) from just spectral measurements is difficult, since low-altitude cloud regimes have similar spectral properties. Recent advances in computer vision using deep neural networks provide a new opportunity to better leverage the coherent spatial information in multispectral imagery. Using a combination of machine learning techniques combined with a new methodology to create the necessary training data, we demonstrate improvements in the discrimination between cloud and severe aerosols and an expanded capability to classify cloud types. The labeled training dataset was created from an adapted NASA Worldview platform that provides an efficient user interface to assemble a human-labeled database of cloud and aerosol types. The convolutional neural network (CNN) labeling accuracy of aerosols and cloud types was quantified using independent Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) and MODIS cloud and aerosol products. By harnessing CNNs with a unique labeled dataset, we demonstrate the improvement of the identification of aerosols and distinct cloud types from MODIS and VIIRS images compared to a per-pixel spectral and standard deviation thresholding method. The paper concludes with case studies that compare the CNN methodology results with the MODIS cloud and aerosol products.

scholarly journals Impact of recreational transformation of soil physical properties on micromolluscs in an urban park

2021 ◽  
Vol 29 (2) ◽  
pp. 78-87
Author(s):  
V. S. Budakova ◽  
N. V. Yorkina ◽  
P. M. Telyuk ◽  
A. K. Umerova ◽  
O. M. Kunakh ◽  
...  
Keyword(s):  
Electrical Conductivity ◽  
Soil Moisture ◽  
Physical Properties ◽  
Soil Properties ◽  
Principal Component ◽  
Feature Space ◽  
Penetration Resistance ◽  
Soil Physical Properties ◽  
Urban Park ◽  
Soil Penetration Resistance

The paper assesses the effect of transformation of soil physical properties on the abundance of micromolluscs in the conditions of an urban park. The studies were carried out in Novooleksandrivskiy Park (Melitopol, Ukraine). An experimental polygon was represented by 7 transects with 18 sampling points in each. The interval between the points in the transect, as well as the interval between transects, was 3 meters. The total area of the polygon was 1,134 m2. The tree species growing within the polygon were Quercus robur, Sophora japonica, and Acer campestre. Shrubs were represented by Ulmus laevis, Tilia cordata, Celtis occidentalis, and Morus nigra. The locations of the trees and shrubs were mapped. The crowns of tree and shrub plants formed a dense canopy and a shady light regime. The grass cover was practically absent. The soil mechanical resistance, soil aggregate-size distribution, electrical conductivity of soil, soil moisture and bulk density were measured. We recorded 618 individuals of Vallonia pulchella, 120 individuals of Cochlicopa lubrica, and 58 individuals of Acanthinula aculeata within the surveyed polygon. We extracted three principal components, which could explain 60.9% of the variation in the feature space of the soil properties. The principal component 1 explained 42.0% of the variation of the feature space and depended on the soil penetration resistance throughout the whole profile, aggregate composition, density, electric conductivity and moisture content of soil. This component reflected a tendency for soil penetration resistance and soil density to increase near recreational trails. The principal component 1 was used to indicate the gradient of recreational transformation of the soil. The principal component 2 was able to explain 10.6% of the variation in the feature space. It negatively correlated with the distance from the recreational trail, soil penetration resistance at the depth of 35 cm or more, soil electrical conductivity, and the proportion of aggregates greater than 3 mm in size. This component positively correlated with soil penetration resistance at 0–5 cm depth and the proportion of aggregates less than 0.5 mm in size. This component can be interpreted as a "halo" from the recreational trail, or a gradient of indirect soil transformations adjacent to the zone of intense recreational load. The principal component 3 was able to explain 8.3% of the variation in the feature space. It positively correlated with soil penetration resistance at the depth of 20–40 cm, the proportion of 0.5–7.0 mm aggregates, and soil moisture. It negatively correlated with the proportion of aggregates larger than 7 mm and smaller than 0.25 mm. This component indicated a variation in soil properties that was induced by causes independent of recreational exposure. The extracted gradients of soil properties significantly influenced the abundance of micromollusc populations. The abundance of all species decreased after increase in recreational load. Micromollusc species responded to direct recreational exposure as plateau (C. lubrica) and asymmetric unimodal responses (V. pulchella and A. aculeata).

scholarly journals Research of water-physical properties of irrigated meadow-gray soils (on experienced plot) under the conditions of Azerbaijan

2019 ◽  
Vol 3 ◽  
pp. 49-54 ◽  
Author(s):  
Mustafayev M.G. ◽  
Qazıyeva P.CH.
Keyword(s):  
Physical Properties ◽  
Solid Phase ◽  
Experimental Site ◽  
Moisture Capacity ◽  
Natural Conditions ◽  
Physical Clay ◽  
River Waters ◽  
Organic Mineral ◽  
Preliminary Study ◽  
Dry Soil

Water-physical properties of the soil are not constant, they often are changed under the influence of natural conditions and agrotechnical measures. Studies show that water-physical properties directly affect the life and growth of plants. In this regard, the main tasks are to study the changes in water and physical properties of the soil under various crops in irrigated areas and to develop the systems of agromeliorative measures. As a result of researches the water-physical properties of irrigated meadow-gray soils of the experimental site at the Salyan plain were studied: physical clay – 48.2...56.79%, density of solid phase – 2.62...2.73 g/cm3, density of dry soil – 1.22...1.46 g/cm3, total moisture capacity – 31.86...43.80%, soil porosity – 46.52...53.44 %, CaCO3 –11.11...14.96%, pH – 8.2...8.6, SO4 in gypsum – 0.077...0.899%, the ratio of absorbed bases – 12.27...15.96 milligram equivalents. Researched soils have a weak and medium degree of water permeability (Kt = 5.51...8.83 cm/h the Kostyakov equation). The traditional and modern methods of irrigation (furrowing, sprinkling, drip, etc.), application of fertilizers (organic, mineral and micro fertilizers, local fertilizers, silt deposits of river waters, etc.) are recommend as agrotechnical measures in accordance with preliminary study of ratio of salts in soil.

Sign in / Sign up

Export Citation Format

Share Document