CCPortal
DOI10.1007/978-3-030-00979-3_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
ISSN2194-5357
EISSN2194-5365
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
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。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Borse, Kalpesh]的文章
[Agnihotri, Prasit G.]的文章
百度学术
百度学术中相似的文章
[Borse, Kalpesh]的文章
[Agnihotri, Prasit G.]的文章
必应学术
必应学术中相似的文章
[Borse, Kalpesh]的文章
[Agnihotri, Prasit G.]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。