UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIRFN06027


Registration ID:
404006

Page Number

163-170

Share This Article


Jetir RMS

Title

ANALYSISING CROP CULTIVATION BASED ON OCCASIONAL DISASTER

Abstract

India being an agriculture country, its economy predominantly depends on agriculture yield growth and agro industry products. Data analysis is an emerging research field in crop yield analysis. Yield prediction is a very important issue in agricultural. Natural disasters in India As per India's National Policy on Disaster Management , the natural disasters that India is prone to are earthquakes, floods, droughts, cyclones, tsunamis, landslips and avalanches. The disasters are classified based on the type: Seasonal and Occasional Disasters. The Seasonal disasters like weather climatic changes like rainfall causes a regular issues to farmers across India. The Occasional Disasters like tsunamis make a dramatic change in the agriculture sectors. Any farmer is interested in knowing how much yield he is about to expect in all type of climatic and disasters. Analyze the various related attributes like earthquakes, floods, droughts, cyclones, tsunamis, landslips and avalanches are used in prediction analysis along with the weather and temperature, type of soil, nutrient value of the soil in that region, amount of rainfall in the region, soil composition can be determined. All these attributes of data will be analyzed, train the data with various suitable machine learning algorithms for creating a model. The system comes with a model to be precise and accurate in predicting crop yield and deliver the end user with proper recommendations about required fertilizer ratio based on atmospheric and soil parameters of the land which enhance to increase the crop yield and increase farmer revenue.

Key Words

Agriculture, Natural Disaster, Occasional Disaster, Decision Tree

Cite This Article

"ANALYSISING CROP CULTIVATION BASED ON OCCASIONAL DISASTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.163-170, June-2022, Available :http://www.jetir.org/papers/JETIRFN06027.pdf

ISSN


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

"ANALYSISING CROP CULTIVATION BASED ON OCCASIONAL DISASTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp163-170, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06027.pdf

Publication Details

Published Paper ID: JETIRFN06027
Registration ID: 404006
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: 163-170
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000281

Print This Page

Current Call For Paper

Jetir RMS