scholarly journals Agriculture Land Classification Based on Climate Data Using Big Data Analysis

2019 ◽  
Vol 8 (S3) ◽  
pp. 94-99
Author(s):  
M. Sirish Kumar ◽  
S. Jyothi ◽  
B. Kavitha
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Agricultural Land ◽  
Big Data Analysis ◽  
Limiting Factors ◽  
Physical Factors ◽  
Land Classification ◽  
England And Wales ◽  
Agriculture Land ◽  
Agricultural Use

The Agricultural Land Classification (ALC) provides a frame work for classifying land according to the extent at which it’s physical or chemical characteristics impose long-term limitations on agricultural use. The major physical factors that influence agricultural criteria for grading are based on their physical margins of land for agricultural use, such as climate (temperature, rainfall, aspect, exposure and frost risk), site (gradient, micro-relief and flood risk) and soil (texture, structure, depth and stoniness and chemical properties which cannot be corrected) and exchanges these factors as soil wetness, draughtiness and erosion. These factors together interact with the basis for classifying land into one of five grades, the grade or sub-grade of land being determined by the most limiting factors that can be classified into grades from 1 (excellent) to 5 (very poor). These grades are classified by using temperature and average rain fall. In this we classified Agriculture Land Classification (ALC) by using Big Data Analysis based on climatic conditions of England and Wales data.Here we analyzed England and Wales data because it has the accurate climatic grades data. These grades data is huge so we analyses the data in Big DATA analysis.

scholarly journals Selected aspects of landscape ecology in process land consolidations

2005 ◽  
Vol 53 (5) ◽  
pp. 71-78
Author(s):  
Radka Jandurová
Keyword(s):  
Time Series ◽  
Landscape Ecology ◽  
Agricultural Land ◽  
Land Consolidation ◽  
The Face ◽  
Ideal Tool ◽  
Land Exploitation ◽  
Area Development ◽  
The Ideal

Work called „Selected Aspects of landscape ecology in process land consolidations“ aims at providing analysis of some parts of the process of land consolidations. The goal of this work is to analyse and evaluate two aspects of landscape ecology – evaluating the development of the agricultural land creation and the face of a landscape.In order to achieve the above-mentioned goals a model area located in Zlín region was used in the thesis. It is an area registered as Kvítkovice near Otrokovice and a district of complex land consolidation called Kvítkovice.After thoroughly studying theoretical sources and performing field explorations and after their consequent synthesis, several analyses were carried out and methodical solution was suggested. By comparing time series of the model area development, i.e. by the so called evaluation of the intensity of changes of agricultural land exploitation, one can learn from the history and can look for the causes of current discrepancies. This evaluation can be used as the basis for finding the solution for current problems and land proposals.The above mentioned was complemented with the face of a landscape evaluation.The work concludes with stating that today it is necessary to rationally regulate landscape and exploit it in such a manner that it is productive, functional, active but also „beautiful“ for its users in the long term – land consolidations are the ideal tool for achieving that.

scholarly journals Effect of population pressure on land to Manggar watershed at East Belitung Regency, Bangka Belitung Island Province, Indonesia

2021 ◽  
Vol 909 (1) ◽  
pp. 012013
Author(s):  
M Y Hidayat
Keyword(s):  
Land Use ◽  
Spatial Analysis ◽  
Land Cover ◽  
Carrying Capacity ◽  
Agricultural Sector ◽  
Agricultural Land ◽  
Negative Impact ◽  
Population Pressure ◽  
Increasing Demand ◽  
Land Exploitation

Abstract Population pressure triggers farmers to expand their cultivation area due to population growth. East Belitung Regency, an expanded area of Belitung Regency, has developed into a new economic center on Belitung Island. The agricultural sector which has the largest contribution to the economy of east Belitung, but it has a negative impact due to the increasing demand for land by the community. This research examines the population pressure on agricultural land in each sub-district area as part of Manggar Watershed. The recent study presents the results of spatial analysis of land cover overlaying to the population of the Manggar watershed using ArcGIS 10.1 software. The results showed that three sub-districts intersect one another, namely Gantung sub-district (2.17%), Kelapa Kampit sub-district (12.49%), and Manggar sub-district (83.34%). In addition, there are ten types of land cover in the Manggar watershed, and the most prominent area is dominated by mining (8,709 Ha). Population pressure on agricultural land in the Manggar watershed is classified as moderate for the Gantung sub-district and low for the Kelapa Kampit and Gantung sub-districts. Furthermore, this study also revealed that land exploitation for the agricultural mean is still below its carrying capacity. Nevertheless, it is necessary to improve the better management of land-use systems in the Manggar watershed.

scholarly journals Traditional agricultural landscapes in Uskopaljska valley (Bosnia and Herzegovina)

2020 ◽  
Vol 12 (1) ◽  
pp. 1573-1588
Author(s):  
Haris Gekić ◽  
Aida Bidžan-Gekić
Keyword(s):  
Land Use ◽  
Agricultural Production ◽  
Agricultural Development ◽  
Agricultural Land ◽  
Agricultural Landscapes ◽  
Agricultural Land Use ◽  
Changing Trends ◽  
Production Areas ◽  
Land Exploitation ◽  
Sufficient Food

AbstractThis article discusses changing trends in agricultural land use in Uskopaljska valley. Quite a large number of agricultural land exploitation orientations indicate that the geographical benefits for the development of certain types of agricultural production are very different. Detailed analysis of the exploitation orientations of land use leads to the opinion that they are determined mainly by social movements. The depopulation areas are numerous in the periphery of Uskopaljska valley, resulting in abandonment of agricultural land and an increase in unused areas. Large extensive production areas were abandoned after 1991, leaving uncultivated ploughlands and grass cover to be used occasionally by herders. In 2018, there were only 7.4 acres of ploughlands, I–IV class quality, per person that were mainly being cultivated, which was not enough to ensure sufficient food production. According to the analysis of available data and based on the practices, and among others a survey among the farmers, the general perception of basic conditions and main problems of agricultural land use and agricultural development is revealed.

scholarly journals UTICAJ OTPADA NA FIZIČKO-HEMIJSKE KARAKTERISTIKE ZEMLJIŠTA

2021 ◽  
Author(s):  
Natasa Stojic ◽  
◽  
Mira Pucarevic ◽  
Milica Živkovic ◽  
Vesna Teofilovic ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Agricultural Land ◽  
Negative Impact ◽  
Soil Samples ◽  
Chemical Characteristics ◽  
Production Potential ◽  
Waste Landfill ◽  
Physico Chemical ◽  
Phosphorus And Potassium ◽  
Land Exploitation

Land exploitation directly affects the physico-chemical characteristics of the soil. Agricultural land can often be seen near the landfills. The question is how much waste affects the production potential of land. The research in this paper is focused on the influence of the municipal waste landfill on the physico-chemical characteristics of the soil. In soil samples were analyzed: pH in KCl, pH in H2O, CaCO3, humus, total nitrogen, P2O5, K2O and organic carbon. The obtained results indicate a negative impact of waste on the content of OC and the content of easily accessible phosphorus and potassium.

Find Out About 'Big Data' to Track Outcomes

ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  
Big Data

Find Out About 'Big Data' to Track Outcomes

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

“Big Data in Psychology: Methods and Applications”

2017 ◽  
Vol 225 (3) ◽  
pp. 287-288
Keyword(s):  
Big Data

An associated conference will take place at ZPID – Leibniz Institute for Psychology Information in Trier, Germany, on June 7–9, 2018. For further details, see: http://bigdata2018.leibniz-psychology.org

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