UGC Approved Journal no 63975(19)

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Published in:

Volume 8 Issue 9
September-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2109203


Registration ID:
314956

Page Number

c28-c31

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Title

Suggestive Crop Modeling System Incorporating Statistical Inference Analysis

Abstract

It is more beneficial and fruitful to represent the underlying data in the form of graphical plots such as Bar Graphs, Line Graphs, Pie Charts, etc. than to represent it the form of a simple table of numbers and raw data which is bound to confuse the end user. Over the past recent years, there has been a growing trend of Data aggregation and analyis has proven its potential for effective communication of information. This trend is fuelled by increased availability of statistical inference tools and a spike in its use. News outlets experimented with new and attractive ways of presenting information to the public. This has raised questions on what benefit the data aggregation can offer in order to communicate information more effectively. In order to begin any Data modeling, the agricultural statistics is the main foundation to begin with. The world population is increasing day by day and it is estimated that in the near future, if proper planning is not done, we may run into a food shortage. This is especially true for developing countries whose population is very high compared to the rest of the world and which do not have access to advanced infrastructure compared to the rest of the developed countries in the world. This problem can be resolved by utilizing the available data in order to analyse the food shortage problem and make proper preparation well in advance in order to meet the agricultural production requirements. Combining the existing data available to the public and the data on weather patterns, we can forecast the future requirements for agricultural production and plan accordingly. An agricultural census is needed to improve estimates between censuses and provide detailed data on small areas not provided in the survey data. To do this, the data must be comparable, that is, standardized definitions, registration units and data collection methods.

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"Suggestive Crop Modeling System Incorporating Statistical Inference Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 9, page no.c28-c31, September-2021, Available :http://www.jetir.org/papers/JETIR2109203.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Suggestive Crop Modeling System Incorporating Statistical Inference Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 9, page no. ppc28-c31, September-2021, Available at : http://www.jetir.org/papers/JETIR2109203.pdf

Publication Details

Published Paper ID: JETIR2109203
Registration ID: 314956
Published In: Volume 8 | Issue 9 | Year September-2021
DOI (Digital Object Identifier):
Page No: c28-c31
Country: Bangaluru, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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