Prediction equations for header losses of combine harvesters when harvesting Thai Hom Mali rice
The objective of this study was to predict header losses of a combine harvester when harvesting Thai Hom Mali rice.The results of the study indicate that grain moisture content (M), reel index (RI), cutter bar speed (V), service life of cutterbar(Y), tine spacing (R), tine clearance over cutter bar...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Prince of Songkla University
2010-01-01
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| Series: | Songklanakarin Journal of Science and Technology (SJST) |
| Subjects: | |
| Online Access: | http://www.rdoapp.psu.ac.th/html/sjst/journal/31-6/0125-3395-31-6-613-620.pdf |
| _version_ | 1818296219047297024 |
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| author | Chaiyan Junsiri Winit Chinsuwan |
| author_facet | Chaiyan Junsiri Winit Chinsuwan |
| author_sort | Chaiyan Junsiri |
| collection | DOAJ |
| description | The objective of this study was to predict header losses of a combine harvester when harvesting Thai Hom Mali rice.The results of the study indicate that grain moisture content (M), reel index (RI), cutter bar speed (V), service life of cutterbar(Y), tine spacing (R), tine clearance over cutter bar (C), stem length (H), product of M and Y (M*Y), product of M and V (M*V), product of RI and R (RI*R), product of V and C (V*C), product of V and H (V*H), V2 and RI2 were the major parameters affecting the losses. The prediction equations had R2 = 0.75. The average percentage header losses given by the estimation equation differed from the measurement by only 0.25. |
| first_indexed | 2024-12-13T04:00:03Z |
| format | Article |
| id | doaj.art-6d5fc8d733374ae483de18e67d90875f |
| institution | Directory Open Access Journal |
| issn | 0125-3395 |
| language | English |
| last_indexed | 2024-12-13T04:00:03Z |
| publishDate | 2010-01-01 |
| publisher | Prince of Songkla University |
| record_format | Article |
| series | Songklanakarin Journal of Science and Technology (SJST) |
| spelling | doaj.art-6d5fc8d733374ae483de18e67d90875f2022-12-22T00:00:30ZengPrince of Songkla UniversitySongklanakarin Journal of Science and Technology (SJST)0125-33952010-01-01316613620Prediction equations for header losses of combine harvesters when harvesting Thai Hom Mali riceChaiyan JunsiriWinit ChinsuwanThe objective of this study was to predict header losses of a combine harvester when harvesting Thai Hom Mali rice.The results of the study indicate that grain moisture content (M), reel index (RI), cutter bar speed (V), service life of cutterbar(Y), tine spacing (R), tine clearance over cutter bar (C), stem length (H), product of M and Y (M*Y), product of M and V (M*V), product of RI and R (RI*R), product of V and C (V*C), product of V and H (V*H), V2 and RI2 were the major parameters affecting the losses. The prediction equations had R2 = 0.75. The average percentage header losses given by the estimation equation differed from the measurement by only 0.25.http://www.rdoapp.psu.ac.th/html/sjst/journal/31-6/0125-3395-31-6-613-620.pdfrice combine harvesterheader lossprediction equations |
| spellingShingle | Chaiyan Junsiri Winit Chinsuwan Prediction equations for header losses of combine harvesters when harvesting Thai Hom Mali rice Songklanakarin Journal of Science and Technology (SJST) rice combine harvester header loss prediction equations |
| title | Prediction equations for header losses of combine harvesters when harvesting Thai Hom Mali rice |
| title_full | Prediction equations for header losses of combine harvesters when harvesting Thai Hom Mali rice |
| title_fullStr | Prediction equations for header losses of combine harvesters when harvesting Thai Hom Mali rice |
| title_full_unstemmed | Prediction equations for header losses of combine harvesters when harvesting Thai Hom Mali rice |
| title_short | Prediction equations for header losses of combine harvesters when harvesting Thai Hom Mali rice |
| title_sort | prediction equations for header losses of combine harvesters when harvesting thai hom mali rice |
| topic | rice combine harvester header loss prediction equations |
| url | http://www.rdoapp.psu.ac.th/html/sjst/journal/31-6/0125-3395-31-6-613-620.pdf |
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