Prediction of Plant Nutrition State of Rice under Water-Saving Cultivation and Panicle Fertilization Application Decision Making
Rice is a staple food crop in Asia. The rice farming industry has been influenced by global urbanization, rapid industrialization, and climate change. A combination of precise agricultural and smart water management systems to investigate the nutrition state in rice is important. Results indicated t...
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| Format: | Article |
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MDPI AG
2021-08-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/11/8/1626 |
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| author | Guan-Sin Li Dong-Hong Wu Yuan-Chih Su Bo-Jein Kuo Ming-Der Yang Ming-Hsin Lai Hsiu-Ying Lu Chin-Ying Yang |
| author_facet | Guan-Sin Li Dong-Hong Wu Yuan-Chih Su Bo-Jein Kuo Ming-Der Yang Ming-Hsin Lai Hsiu-Ying Lu Chin-Ying Yang |
| author_sort | Guan-Sin Li |
| collection | DOAJ |
| description | Rice is a staple food crop in Asia. The rice farming industry has been influenced by global urbanization, rapid industrialization, and climate change. A combination of precise agricultural and smart water management systems to investigate the nutrition state in rice is important. Results indicated that plant nitrogen and chlorophyll content at the maximum tillering stage were significantly influenced by the interaction between water and fertilizer. The normalized difference vegetation index (NDVI) and normalized difference red edge (NDRE), obtained from the multispectral images captured by a UAV, exhibited the highest positive correlations (0.83 and 0.82) with plant nitrogen content at the maximum tillering stage. The leave-one-out cross-validation method was used for validation, and a final plant nitrogen content prediction model was obtained. A regression function constructed using a nitrogen nutrition index and the difference in field cumulative nitrogen had favorable variation explanatory power, and its adjusted coefficient of determination was 0.91. We provided a flow chart showing how the nutrition state of rice can be predicted with the vegetation indices obtained from UAV image analysis. Differences in field cumulative nitrogen can be further used to diagnose the demand of nitrogen topdressing during the panicle initiation stage. Thus, farmers can be provided with precise panicle fertilization strategies for rice fields. |
| first_indexed | 2024-03-10T09:05:08Z |
| format | Article |
| id | doaj.art-4263fc51f30043c7b83a52d1204938ea |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T09:05:08Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-4263fc51f30043c7b83a52d1204938ea2023-11-22T06:26:37ZengMDPI AGAgronomy2073-43952021-08-01118162610.3390/agronomy11081626Prediction of Plant Nutrition State of Rice under Water-Saving Cultivation and Panicle Fertilization Application Decision MakingGuan-Sin Li0Dong-Hong Wu1Yuan-Chih Su2Bo-Jein Kuo3Ming-Der Yang4Ming-Hsin Lai5Hsiu-Ying Lu6Chin-Ying Yang7Department of Agronomy, National Chung Hsing University, Taichung 402202, TaiwanCrop Science Division, Taiwan Agricultural Research Institute, Council of Agriculture, Taichung 413008, TaiwanDepartment of Agronomy, National Chung Hsing University, Taichung 402202, TaiwanDepartment of Agronomy, National Chung Hsing University, Taichung 402202, TaiwanDepartment of Civil Engineering, and Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, Taichung 402202, TaiwanCrop Science Division, Taiwan Agricultural Research Institute, Council of Agriculture, Taichung 413008, TaiwanMiaoli District Agricultural Research and Extension Station, Council of Agriculture, Miaoli 36346, TaiwanDepartment of Agronomy, National Chung Hsing University, Taichung 402202, TaiwanRice is a staple food crop in Asia. The rice farming industry has been influenced by global urbanization, rapid industrialization, and climate change. A combination of precise agricultural and smart water management systems to investigate the nutrition state in rice is important. Results indicated that plant nitrogen and chlorophyll content at the maximum tillering stage were significantly influenced by the interaction between water and fertilizer. The normalized difference vegetation index (NDVI) and normalized difference red edge (NDRE), obtained from the multispectral images captured by a UAV, exhibited the highest positive correlations (0.83 and 0.82) with plant nitrogen content at the maximum tillering stage. The leave-one-out cross-validation method was used for validation, and a final plant nitrogen content prediction model was obtained. A regression function constructed using a nitrogen nutrition index and the difference in field cumulative nitrogen had favorable variation explanatory power, and its adjusted coefficient of determination was 0.91. We provided a flow chart showing how the nutrition state of rice can be predicted with the vegetation indices obtained from UAV image analysis. Differences in field cumulative nitrogen can be further used to diagnose the demand of nitrogen topdressing during the panicle initiation stage. Thus, farmers can be provided with precise panicle fertilization strategies for rice fields.https://www.mdpi.com/2073-4395/11/8/1626ricewater-saving cultivationUAV remote sensingvegetation indexnitrogen fertilizer |
| spellingShingle | Guan-Sin Li Dong-Hong Wu Yuan-Chih Su Bo-Jein Kuo Ming-Der Yang Ming-Hsin Lai Hsiu-Ying Lu Chin-Ying Yang Prediction of Plant Nutrition State of Rice under Water-Saving Cultivation and Panicle Fertilization Application Decision Making Agronomy rice water-saving cultivation UAV remote sensing vegetation index nitrogen fertilizer |
| title | Prediction of Plant Nutrition State of Rice under Water-Saving Cultivation and Panicle Fertilization Application Decision Making |
| title_full | Prediction of Plant Nutrition State of Rice under Water-Saving Cultivation and Panicle Fertilization Application Decision Making |
| title_fullStr | Prediction of Plant Nutrition State of Rice under Water-Saving Cultivation and Panicle Fertilization Application Decision Making |
| title_full_unstemmed | Prediction of Plant Nutrition State of Rice under Water-Saving Cultivation and Panicle Fertilization Application Decision Making |
| title_short | Prediction of Plant Nutrition State of Rice under Water-Saving Cultivation and Panicle Fertilization Application Decision Making |
| title_sort | prediction of plant nutrition state of rice under water saving cultivation and panicle fertilization application decision making |
| topic | rice water-saving cultivation UAV remote sensing vegetation index nitrogen fertilizer |
| url | https://www.mdpi.com/2073-4395/11/8/1626 |
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