scholarly journals Geotechnologies and Soil Mapping for Delimitation of Management Zones as an Approach to Precision Viticulture

2017 ◽  
Vol 2017 ◽  
pp. 1-10
Author(s):  
José Maria Filippini Alba ◽  
Carlos Alberto Flores ◽  
Alberto Miele
Keyword(s):  
Precision Agriculture ◽  
Chemical Properties ◽  
Unsupervised Classification ◽  
Soil Mapping ◽  
Grid Pattern ◽  
Management Zones ◽  
Chemical Properties Of Soils ◽  
Elevation Model ◽  
Definition Of ◽  
Physical And Chemical

Data of the physical and chemical properties of soils from three vineyards located in Vale dos Vinhedos, Bento Gonçalves, Rio Grande do Sul state, in southern Brazil, were processed. Soil mapping was performed by means of four profiles and the digital elevation model in detailed scale. Then, superficial soils (0–20 cm) were sampled according to a grid pattern. Analysis of variance (ANOVA), kriging, and unsupervised classification methods were applied on physical and chemical data of superficial soils sampled according to grid pattern. This study aimed to compare both methods, the conventional soil mapping and the map produced with superficial soil sampling, about their potential for definition of the management zones, as an approach for precision agriculture. Maps elaborated by conventional soil mapping overlapped partially with the maps derived from superficial sampling, probably due to the specific methodological differences of each case. Anyway, both methods are complementary because of the focus on vertical variability and horizontal variability, respectively. In that sense, slope appears as significant edaphic parameter, due to its control on water circulation in the profile of soil.

scholarly journals Management zones definition using soil chemical and physical attributes in a soybean area

2013 ◽  
Vol 33 (5) ◽  
pp. 952-964 ◽  
Author(s):  
Claudio L. Bazzi ◽  
Eduardo G. Souza ◽  
Miguel A. Uribe-Opazo ◽  
Lúcia H. P. Nóbrega ◽  
Davi M. Rocha
Keyword(s):  
Precision Agriculture ◽  
Soil Analysis ◽  
Chemical Properties ◽  
Physical And Chemical Properties ◽  
Management Zones ◽  
Interesting Possibility ◽  
Physical Attributes ◽  
Physical And Chemical ◽  
Properties Of Soil ◽  
And Chemical Properties

Several equipments and methodologies have been developed to make available precision agriculture, especially considering the high cost of its implantation and sampling. An interesting possibility is to define management zones aim at dividing producing areas in smaller management zones that could be treated differently, serving as a source of recommendation and analysis. Thus, this trial used physical and chemical properties of soil and yield aiming at the generation of management zones in order to identify whether they can be used as recommendation and analysis. Management zones were generated by the Fuzzy C-Means algorithm and their evaluation was performed by calculating the reduction of variance and performing means tests. The division of the area into two management zones was considered appropriate for the present distinct averages of most soil properties and yield. The used methodology allowed the generation of management zones that can serve as source of recommendation and soil analysis; despite the relative efficiency has shown a reduced variance for all attributes in divisions in the three sub-regions, the ANOVA did not show significative differences among the management zones.

scholarly journals Physical and chemical properties of soils in different physiographic environments in the southern Amazonas region

2019 ◽  
Vol 35 (4) ◽  
Author(s):  
Willian Barros Nascimento ◽  
Milton César Costa Campos ◽  
Bruno Campos Mantovanelli ◽  
Luís Antônio Coutrim dos Santos ◽  
José Mauricio Cunha ◽  
...  
Keyword(s):  
Particle Density ◽  
Broad Class ◽  
Chemical Properties ◽  
Principal Component ◽  
Available Phosphorus ◽  
Physical And Chemical Properties ◽  
Dry Land ◽  
Chemical Properties Of Soils ◽  
Physical And Chemical ◽  
And Chemical Properties

The Amazon region has a great diversity of landscapes such as forests galleries, natural fields (“Cerrados Amazônicos”), dense forest, these environments made possible the formation of a broad class of soils over time. The aim of this study was to evaluate the physical and chemical properties of soils in different physiographic environments in southern Amazonas, Brazil. Three areas of representative physiographies were selected, all of them in natural conditions: natural field / forest and floodplain / dry land transitions, and corrugated relief areas. Soil samples were collected in layers of 0.0 to 0.20 and 0.80-1.0 m. From the samples collected the following physical analyzes were performed: particle size, bulk density, particle density, total porosity and saturated hydraulic conductivity; and chemical: exchangeable calcium, magnesium, aluminum and potassium available, phosphorus, potential acidity, pH and organic carbon. Based on the results of chemical analysis were calculated the sum of bases and base saturation. The results were submitted to multivariate statistics analysis, at the discretion of the principal component analysis (PCA). From the results it is clear that different physiographic environments studied influence the formation of different soil classes, featuring the diversity of Amazonian soils. The PCA allowed the distinction and formation of different similarity groups, thus enabling to relate the physical and chemical properties with the physiographic formation in which they are inserted.

scholarly journals Spatial influence of physical and chemical parameters on management zone definition in apple orchards

2015 ◽  
Vol 35 (6) ◽  
pp. 1160-1171
Author(s):  
Luciano Gebler ◽  
Celia R. Grego ◽  
Abel L. Vieira ◽  
Leonardo da R. Kuse
Keyword(s):  
Fruit Quality ◽  
Precision Agriculture ◽  
Apple Orchard ◽  
Apple Orchards ◽  
Management Zones ◽  
Digital Mapping ◽  
Management Zone ◽  
Soil Penetration Resistance ◽  
Representative Points ◽  
Physical And Chemical

ABSTRACT Precision agriculture adoption in Brazilian apple orchards is still incipient. This study aimed at evaluating the spatial variability of certain soil properties as soil density, soil penetration resistance, electrical conductivity, yield, and fruit quality in an apple orchard through digital mapping, as well as assessing the correlation between these factors by means of geostatistics, establishing management zones. Forty representative points were set within 2.5 hectares of apple orchard, wherein soil samples were collected and analyzed, besides measurements of fruit quality (Brix degree, size or diameter, pulp firmness and color) to generate an overall index quality. We concluded that the fruit quality indexes, when isolated, did not show strong spatial dependence, unlike the index of fruit quality (FQI), derived from a combination of these parameters, allowing orchard planning according to management zones based on quality.

scholarly journals Digitization and mapping of national legacy soil data of Montenegro

2018 ◽  
Vol 13 (No. 2) ◽  
pp. 83-89 ◽  
Author(s):  
E. Salković ◽  
I. Djurović ◽  
M. Knežević ◽  
V. Popović-Bugarin ◽  
A. Topalović
Keyword(s):  
Soil Phosphorus ◽  
Chemical Properties ◽  
Principal Component ◽  
Predictor Variables ◽  
Initial Assessment ◽  
Initial Attempt ◽  
Digital Elevation ◽  
Data Points ◽  
Elevation Model ◽  
Physical And Chemical

This paper describes the process of digitizing Montenegro’s legacy soil data, and an initial attempt to use it for digital soil mapping (DSM) purposes. The handwritten legacy numerical records of physical and chemical properties for more than 10 000 soil profiles and semi-profiles covering whole Montenegro have been digitized, and, out of those, more than 3000 have been georeferenced. Problems and challenges of digitization addressed in the paper are: processing of non-uniform handwritten numerical records, parsing a complex textual representation of those records, georeferencing the records using digitized (scanned) legacy soil maps, creating a single computer database containing all digitized records, transforming, cleaning and validating the data. For an initial assessment of the suitability of these data for mapping purposes, inverse distance weighting (IDW), ordinary kriging (OK), multiple linear regression (LR), and regression-kriging (RK) interpolation models were applied to create thematic maps of soil phosphorus. The area chosen for mapping is a 400 km<sup>2</sup> area near the city of Cetinje, containing 125 data points. LR and RK models were developed using publicly available digital elevation model (DEM) data and satellite global land survey (GLS) data as predictor variables. The digitized phosphorus quantities were normalized and scaled. The predictor variables were scaled, and principal component analysis was performed. For the best performing RK model an R<sup>2</sup> value of 0.23 was obtained.

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