Exploring Rice Yield Variability Under Climate Change Through NDVI Analysis
This study presents a novel approach to predicting paddy yields in Brunei's Wasan Rice Scheme using projected normalized difference vegetation index (NDVI) values derived from climate projections under three time periods: near future (2020–2046), mid-future (2047–2073), and far future (2074–...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
INTI International University
2024
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/2071/ http://eprints.intimal.edu.my/2071/2/612 http://eprints.intimal.edu.my/2071/3/ij2024_45r.pdf |
| _version_ | 1848766912158236672 |
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| author | Hamizah, Rhymee Shahriar, Shams Uditha, Ratanyake Ena Kartina, Abdul Rahman |
| author_facet | Hamizah, Rhymee Shahriar, Shams Uditha, Ratanyake Ena Kartina, Abdul Rahman |
| author_sort | Hamizah, Rhymee |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | This study presents a novel approach to predicting paddy yields in Brunei's Wasan Rice
Scheme using projected normalized difference vegetation index (NDVI) values derived from
climate projections under three time periods: near future (2020–2046), mid-future (2047–2073),
and far future (2074–2100). Employing CMIP6 socioeconomic pathways (SSP245, SSP370,
SSP585), random forest (RF) and multiple linear regression (MLR) models were utilised to link
historical NDVI with meteorological factors such as rainfall and temperature. Results indicate that
main-season yields are expected to decline or stabilize across scenarios, while off-season NDVI
consistently increases, reflecting robust vegetation recovery. These findings emphasise the
differential impacts of climate change across growing seasons, providing critical insights for
agricultural planning and adaptation strategies. By integrating scenario-based NDVI projections
and predictive modeling, this study offers a comprehensive framework for understanding future
crop dynamics under changing climatic conditions. |
| first_indexed | 2025-11-14T11:58:41Z |
| format | Article |
| id | intimal-2071 |
| institution | INTI International University |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T11:58:41Z |
| publishDate | 2024 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-20712025-07-12T07:25:35Z http://eprints.intimal.edu.my/2071/ Exploring Rice Yield Variability Under Climate Change Through NDVI Analysis Hamizah, Rhymee Shahriar, Shams Uditha, Ratanyake Ena Kartina, Abdul Rahman T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery This study presents a novel approach to predicting paddy yields in Brunei's Wasan Rice Scheme using projected normalized difference vegetation index (NDVI) values derived from climate projections under three time periods: near future (2020–2046), mid-future (2047–2073), and far future (2074–2100). Employing CMIP6 socioeconomic pathways (SSP245, SSP370, SSP585), random forest (RF) and multiple linear regression (MLR) models were utilised to link historical NDVI with meteorological factors such as rainfall and temperature. Results indicate that main-season yields are expected to decline or stabilize across scenarios, while off-season NDVI consistently increases, reflecting robust vegetation recovery. These findings emphasise the differential impacts of climate change across growing seasons, providing critical insights for agricultural planning and adaptation strategies. By integrating scenario-based NDVI projections and predictive modeling, this study offers a comprehensive framework for understanding future crop dynamics under changing climatic conditions. INTI International University 2024-12 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2071/2/612 text en cc_by_4 http://eprints.intimal.edu.my/2071/3/ij2024_45r.pdf Hamizah, Rhymee and Shahriar, Shams and Uditha, Ratanyake and Ena Kartina, Abdul Rahman (2024) Exploring Rice Yield Variability Under Climate Change Through NDVI Analysis. INTI JOURNAL, 2024 (45). pp. 1-12. ISSN e2600-7320 https://intijournal.intimal.edu.my |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery Hamizah, Rhymee Shahriar, Shams Uditha, Ratanyake Ena Kartina, Abdul Rahman Exploring Rice Yield Variability Under Climate Change Through NDVI Analysis |
| title | Exploring Rice Yield Variability Under Climate Change Through NDVI
Analysis |
| title_full | Exploring Rice Yield Variability Under Climate Change Through NDVI
Analysis |
| title_fullStr | Exploring Rice Yield Variability Under Climate Change Through NDVI
Analysis |
| title_full_unstemmed | Exploring Rice Yield Variability Under Climate Change Through NDVI
Analysis |
| title_short | Exploring Rice Yield Variability Under Climate Change Through NDVI
Analysis |
| title_sort | exploring rice yield variability under climate change through ndvi
analysis |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery |
| url | http://eprints.intimal.edu.my/2071/ http://eprints.intimal.edu.my/2071/ http://eprints.intimal.edu.my/2071/2/612 http://eprints.intimal.edu.my/2071/3/ij2024_45r.pdf |