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Emerging Trends and Statistical Analysis in Computational Modeling in Agriculture

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Title Emerging Trends and Statistical Analysis in Computational Modeling in Agriculture
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Creator Sunil Kumar, Mohammad Shamim, Mamta Bansal, RP Aggarwal and B Gangwar
 
Subject Agriculture, Integrated Farming System, Computational Modelling, Intelligence, Crops, Weather, Soil, and Climate.
 
Description Not Available
In this paper the authors have tried to describe
emerging trend in computational modelling used in the
sphere of agriculture. Agricultural computational modelling
with the use of intelligence techniques for computing the
agricultural output by providing minimum input data to
lessen the time through cutting down the multi locational
field trials and also the labours and other inputs is getting
momentum. Development of locally suitable integrated
farming systems (IFS) is the utmost need of the day,
particularly in India where about 95% farms are under small
and marginal holding size. Optimization of the size and
number of the various enterprises to the desired IFS model
for a particular set of agro-climate is essential components of
the research to sustain the agricultural productivity for not
only filling the stomach of the bourgeoning population of the
country, but also to enhance the nutritional security and
farms return for quality life. Review of literature pertaining
to emerging trends in computational modelling applied in
field of agriculture is done and described below for the
purpose of understanding its trends mechanism behavior and
its applications. Computational modelling is increasingly
effective for designing and analysis of the system. Computational
modelling is an important tool to analyses the effect of
different scenarios of climate and management options on the
farming systems and its interaction among themselves.
Further, authors have also highlighted the applications of
computational modeling in integrated farming system, crops,
weather, soil, climate, horticulture and statistical used in
agriculture which can show the path to the agriculture
researcher and rural farming community to replace some of
the traditional techniques.
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Date 2018-12-03T04:48:16Z
2018-12-03T04:48:16Z
2015-01-01
 
Type Research Paper
 
Identifier Kumar, Sunil, Mohammad Shamim, Mamta Bansal, R.P. Agarwal and B.Gangwar (2014). Emerging trends and statistical analysis in computational modelling in agriculture. International Journal of Electronics Communication and computer engineering vol. 6 (6), ISSN (online): 2249- 071X. 171-174.
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http://krishi.icar.gov.in/jspui/handle/123456789/15131
 
Language English
 
Relation Not Available;
 
Publisher TIMELINE PUBLICATION PVT. LTD