Rice yield prediction model with respect to crop healthiness and soil fertility
The main staple food for most people in the world precisely in Asia is rice also known as another name Oryza sativa L. This study aimed to establish a rice yield prediction model based on crop healthiness and soil fertility in Malaysia. Multiple linear regressions (MLR) model was used to develop...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Rynnye Lyan Resources
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/82024/1/Rice%20yield%20prediction%20model%20with%20respect%20to%20crop%20healthiness%20and%20soil%20fertility.pdf |
| _version_ | 1796980991083937792 |
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| author | Renny Eka Putri Yahya, Azmi Adam, Nor Mariah Abd Aziz, Samsuzana |
| author_facet | Renny Eka Putri Yahya, Azmi Adam, Nor Mariah Abd Aziz, Samsuzana |
| author_sort | Renny Eka Putri |
| collection | UPM |
| description | The main staple food for most people in the world precisely in Asia is rice also known as another name Oryza sativa L. This study aimed to establish a rice yield prediction model
based on crop healthiness and soil fertility in Malaysia. Multiple linear regressions (MLR) model was used to develop a relationship between a dependent variable, Y (rice yield) and three predictor variables, X (crop healthiness and soil nutrient). A model was developed to predict rice yield based on crop healthiness and soil nutrient variability including all interaction variables with an overall R2 = 0.6403. The information obtained from variability could assist farmers in making management decisions to improve cropping practices for succeeding rice crops. This study may aid in enhancing the rice yield and the
profitability of Malaysia farmers. |
| first_indexed | 2024-03-06T10:31:11Z |
| format | Article |
| id | upm.eprints-82024 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:31:11Z |
| publishDate | 2019 |
| publisher | Rynnye Lyan Resources |
| record_format | dspace |
| spelling | upm.eprints-820242020-09-03T06:48:13Z http://psasir.upm.edu.my/id/eprint/82024/ Rice yield prediction model with respect to crop healthiness and soil fertility Renny Eka Putri Yahya, Azmi Adam, Nor Mariah Abd Aziz, Samsuzana The main staple food for most people in the world precisely in Asia is rice also known as another name Oryza sativa L. This study aimed to establish a rice yield prediction model based on crop healthiness and soil fertility in Malaysia. Multiple linear regressions (MLR) model was used to develop a relationship between a dependent variable, Y (rice yield) and three predictor variables, X (crop healthiness and soil nutrient). A model was developed to predict rice yield based on crop healthiness and soil nutrient variability including all interaction variables with an overall R2 = 0.6403. The information obtained from variability could assist farmers in making management decisions to improve cropping practices for succeeding rice crops. This study may aid in enhancing the rice yield and the profitability of Malaysia farmers. Rynnye Lyan Resources 2019-04 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/82024/1/Rice%20yield%20prediction%20model%20with%20respect%20to%20crop%20healthiness%20and%20soil%20fertility.pdf Renny Eka Putri and Yahya, Azmi and Adam, Nor Mariah and Abd Aziz, Samsuzana (2019) Rice yield prediction model with respect to crop healthiness and soil fertility. Food Research, 3 (2). pp. 174-180. ISSN 2550-2166 https://www.myfoodresearch.com/uploads/8/4/8/5/84855864/_14__fr-2018-117.r1_putri.pdf 10.26656/fr.2017.3(2).117 |
| spellingShingle | Renny Eka Putri Yahya, Azmi Adam, Nor Mariah Abd Aziz, Samsuzana Rice yield prediction model with respect to crop healthiness and soil fertility |
| title | Rice yield prediction model with respect to crop healthiness and soil fertility |
| title_full | Rice yield prediction model with respect to crop healthiness and soil fertility |
| title_fullStr | Rice yield prediction model with respect to crop healthiness and soil fertility |
| title_full_unstemmed | Rice yield prediction model with respect to crop healthiness and soil fertility |
| title_short | Rice yield prediction model with respect to crop healthiness and soil fertility |
| title_sort | rice yield prediction model with respect to crop healthiness and soil fertility |
| url | http://psasir.upm.edu.my/id/eprint/82024/1/Rice%20yield%20prediction%20model%20with%20respect%20to%20crop%20healthiness%20and%20soil%20fertility.pdf |
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