Linking Grape Yield Performance to Remote Sensing Vegetation Indices: A Fusion of Sentinel Radar and Optical Imagery with Machine Learning Models.

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Title: Linking Grape Yield Performance to Remote Sensing Vegetation Indices: A Fusion of Sentinel Radar and Optical Imagery with Machine Learning Models.
Authors: Maleki, H. R.1 (AUTHOR) hamidmaleki1228@gmail.com, Pour, M. Khodamorad2 (AUTHOR) mkhodamorad@basu.ac.ir, Monavar, H. Mohammadi1 (AUTHOR) mohamadihosna@gmail.com
Source: Journal of Agricultural Machinery. Summer2026, Vol. 16 Issue 2, p287-301. 15p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 194580019
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  Data: Linking Grape Yield Performance to Remote Sensing Vegetation Indices: A Fusion of Sentinel Radar and Optical Imagery with Machine Learning Models.
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  Data: <searchLink fieldCode="AR" term="%22Maleki%2C+H%2E+R%2E%22">Maleki, H. R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hamidmaleki1228@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Pour%2C+M%2E+Khodamorad%22">Pour, M. Khodamorad</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> mkhodamorad@basu.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Monavar%2C+H%2E+Mohammadi%22">Monavar, H. Mohammadi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mohamadihosna@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Agricultural+Machinery%22">Journal of Agricultural Machinery</searchLink>. Summer2026, Vol. 16 Issue 2, p287-301. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194580019
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.22067/jam.2025.91357.1325
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 287
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      – TitleFull: Linking Grape Yield Performance to Remote Sensing Vegetation Indices: A Fusion of Sentinel Radar and Optical Imagery with Machine Learning Models.
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            NameFull: Maleki, H. R.
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            NameFull: Pour, M. Khodamorad
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              Text: Summer2026
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              Y: 2026
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