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| DOI | 10.1007/978-3-030-00979-3_46 |
| Prediction of Crop Yields Based on Fuzzy Rule-Based System (FRBS) Using the Takagi Sugeno-Kang Approach | |
| Borse, Kalpesh; Agnihotri, Prasit G. | |
| 发表日期 | 2019 |
| ISSN | 2194-5357 |
| EISSN | 2194-5365 |
| 卷号 | 866页码:438-447 |
| 英文摘要 | Predicting the effects of climate change on crop yields requires a model and its parameters, how crops respond to weather. Predictions from different models often disagree with the climatic variables and its impact. A common approach is to use statistical |
| 关键词 | Takagi Sugeno-Kang approachCrop yieldClimate changeFuzzy logic |
| 学科领域 | Computer Science, Artificial Intelligence;Computer Science, Theory & Methods |
| 语种 | 英语 |
| WOS记录号 | WOS:000465010900046 |
| 来源期刊 | INTELLIGENT COMPUTING & OPTIMIZATION
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| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/79193 |
| 作者单位 | Sardar Vallbhbhai Natl Inst Technol, Dept Civil Engn, Surat, India |
| 推荐引用方式 GB/T 7714 | Borse, Kalpesh,Agnihotri, Prasit G.. Prediction of Crop Yields Based on Fuzzy Rule-Based System (FRBS) Using the Takagi Sugeno-Kang Approach[J],2019,866:438-447. |
| APA | Borse, Kalpesh,&Agnihotri, Prasit G..(2019).Prediction of Crop Yields Based on Fuzzy Rule-Based System (FRBS) Using the Takagi Sugeno-Kang Approach.INTELLIGENT COMPUTING & OPTIMIZATION,866,438-447. |
| MLA | Borse, Kalpesh,et al."Prediction of Crop Yields Based on Fuzzy Rule-Based System (FRBS) Using the Takagi Sugeno-Kang Approach".INTELLIGENT COMPUTING & OPTIMIZATION 866(2019):438-447. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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