<mets:mets OBJID="eprint_10044" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2023-07-05T01:37:03Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>OAR@ICRISAT</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_10044_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>Wheat yield forecast using detrended yield over a sub-humid climatic environment in five districts of Uttar Pradesh, India</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">B</mods:namePart><mods:namePart type="family">Gurung</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">S</mods:namePart><mods:namePart type="family">Panwar</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">K N</mods:namePart><mods:namePart type="family">Singh</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">R</mods:namePart><mods:namePart type="family">Banerjee</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">S R</mods:namePart><mods:namePart type="family">Gurung</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">A</mods:namePart><mods:namePart type="family">Rathore</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>A study was carried out to forecast the yield of the wheat crop for five districts of Uttar Pradesh namely Lucknow, Kanpur, Banda, Jhansi and Faizabad. The daily weather data on variables such as maximum temperature, rainfall, minimum temperature, and relative humidity were arranged week wise from sowing to harvesting and the relations between the weather variables and yield was worked out using statistical tools like correlation and regression. The yield has been detrended by obtaining the parameter estimates of the model and subsequently the detrended yield was used to forecast the yield of the crop using ARIMA model. The proposed method of obtaining pre-harvest forecasting of yield of crops was compared with the traditional approaches of forecasting and the proposed method was evaluated in terms of criteria’s such as goodness of fit of the model. It was observed that in all the districts the proposed model performed better as compared to the traditional method both in terms of goodness of fit as well as forecasting performance. Thus it can be concluded that the proposed approach is better and more suitable as compared to the traditional approach for forecasting the wheat yield in the five districts of Uttar Pradesh.</mods:abstract><mods:classification authority="lcc">Crop Yield</mods:classification><mods:classification authority="lcc">Wheat</mods:classification><mods:classification authority="lcc">Climate Change</mods:classification><mods:classification authority="lcc">Statistics</mods:classification><mods:classification authority="lcc">Indian Agriculture</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2017-01</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>ICAR</mods:publisher></mods:originInfo><mods:genre>Article</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_10044"><mets:rightsMD ID="rights_eprint_10044_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
<p xmlns="http://www.w3.org/1999/xhtml"><strong>For work being deposited by its own author:</strong> 
In self-archiving this collection of files and associated bibliographic 
metadata, I grant OAR@ICRISAT the right to store 
them and to make them permanently available publicly for free on-line. 
I declare that this material is my own intellectual property and I 
understand that OAR@ICRISAT does not assume any 
responsibility if there is any breach of copyright in distributing these 
files or metadata. (All authors are urged to prominently assert their 
copyright on the title page of their work.)</p>

<p xmlns="http://www.w3.org/1999/xhtml"><strong>For work being deposited by someone other than its 
author:</strong> I hereby declare that the collection of files and 
associated bibliographic metadata that I am archiving at 
OAR@ICRISAT) is in the public domain. If this is 
not the case, I accept full responsibility for any breach of copyright 
that distributing these files or metadata may entail.</p>

<p xmlns="http://www.w3.org/1999/xhtml">Clicking on the deposit button indicates your agreement to these 
terms.</p>
    </mods:useAndReproduction></mets:xmlData></mets:mdWrap></mets:rightsMD></mets:amdSec><mets:fileSec><mets:fileGrp USE="reference"><mets:file ID="eprint_10044_47451_1" SIZE="1261108" OWNERID="http://oar.icrisat.org/10044/1/67047-168284-1-SM.pdf" MIMETYPE="application/pdf"><mets:FLocat LOCTYPE="URL" xlink:type="simple" xlink:href="http://oar.icrisat.org/10044/1/67047-168284-1-SM.pdf"></mets:FLocat></mets:file></mets:fileGrp></mets:fileSec><mets:structMap><mets:div DMDID="DMD_eprint_10044_mods" ADMID="TMD_eprint_10044"><mets:fptr FILEID="eprint_10044_document_47451_1"></mets:fptr></mets:div></mets:structMap></mets:mets>