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Prediction of Wheat Production Using Artificial Neural Networks and Investigating Indirect Factors Affecting It: Case Study in Canterbury Province, New Zealand.

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Title: Prediction of Wheat Production Using Artificial Neural Networks and Investigating Indirect Factors Affecting It: Case Study in Canterbury Province, New Zealand.
Alternate Title: ييثزبيش توليدهىدم باالمتفاده ازشبكه هاى عصى و ءط1س> فاكتورهاى غير .ستقيم: ءط1لعه ءور۵ى در اد٠تان كانتربرى نبوزلتد
Authors: Safa, M.1 majeed.safa@lincoln.ac.nz, Samarasinghe, S.2, Nejat, M.3
Source: Journal of Agricultural Science & Technology. Jul/Aug2015, Vol. 17 Issue 4, p791-803. 13p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
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  Data: Prediction of Wheat Production Using Artificial Neural Networks and Investigating Indirect Factors Affecting It: Case Study in Canterbury Province, New Zealand.
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  Data: ييثزبيش توليدهىدم باالمتفاده ازشبكه هاى عصى و ءط1س> فاكتورهاى غير .ستقيم: ءط1لعه ءور۵ى در اد٠تان كانتربرى نبوزلتد
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  Data: <searchLink fieldCode="AR" term="%22Safa%2C+M%2E%22">Safa, M.</searchLink><relatesTo>1</relatesTo><i> majeed.safa@lincoln.ac.nz</i><br /><searchLink fieldCode="AR" term="%22Samarasinghe%2C+S%2E%22">Samarasinghe, S.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Nejat%2C+M%2E%22">Nejat, M.</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Agricultural+Science+%26+Technology%22">Journal of Agricultural Science & Technology</searchLink>. Jul/Aug2015, Vol. 17 Issue 4, p791-803. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=111283792
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 791
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      – TitleFull: Prediction of Wheat Production Using Artificial Neural Networks and Investigating Indirect Factors Affecting It: Case Study in Canterbury Province, New Zealand.
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            NameFull: Safa, M.
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            NameFull: Samarasinghe, S.
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              Text: Jul/Aug2015
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              Y: 2015
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              Value: 17
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