A Novel Method for Rice Production Forecasting Using Fuzzy Time Series
Present study provides some modified techniques for time series based forecasting for forecasting the yield of any crop year. Our study can help in inventory management of rice yield and for management of storage space. We are using the data of previous years and proposing a new method by using the fuzzy time series forecasting technique.
Keywords: Computational Intelligence, Fuzzy time series, Crop yield forecasting, Higher order time series, time series, Crisp value
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ABOUT THE AUTHORS
Sachin Kumar
Dr. Sachin Kumar is working as professor in the department of CSE, AKGEC, Ghaziabad. Prior to Join AKGEC, he has worked in KIET & RKGIT Ghaziabad and CCS University, Meerut. He did Ph.D. in Computer Science (CCS University campus) and M.Tech. in Computer Science. He has published/ presented several papers in Journals/ Conferences of repute. He is author of 3 text books. His research interest includes Computer Networks and Wireless Communication.
Narendra Kumar
Narendra Kumar is doing Ph.D. from Mewar university and working as assistant professor in the department of IT, AKGEC. He did M.Tech. in Computer Science(UPTU). His research interest includes fuzzy logic and digital image processing
Sachin Kumar
Dr. Sachin Kumar is working as professor in the department of CSE, AKGEC, Ghaziabad. Prior to Join AKGEC, he has worked in KIET & RKGIT Ghaziabad and CCS University, Meerut. He did Ph.D. in Computer Science (CCS University campus) and M.Tech. in Computer Science. He has published/ presented several papers in Journals/ Conferences of repute. He is author of 3 text books. His research interest includes Computer Networks and Wireless Communication.
Narendra Kumar
Narendra Kumar is doing Ph.D. from Mewar university and working as assistant professor in the department of IT, AKGEC. He did M.Tech. in Computer Science(UPTU). His research interest includes fuzzy logic and digital image processing