KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/81690
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | AMIT KUMAR | en_US |
dc.contributor.author | A. SARANGI | en_US |
dc.contributor.author | D.K. SINGH | en_US |
dc.contributor.author | I. MANI | en_US |
dc.contributor.author | K. K. BANDHYOPADHYAY | en_US |
dc.contributor.author | S. DASH | en_US |
dc.contributor.author | M. KHANNA | en_US |
dc.date.accessioned | 2024-03-26T12:30:50Z | - |
dc.date.available | 2024-03-26T12:30:50Z | - |
dc.date.issued | 2024-03-01 | - |
dc.identifier.citation | Kumar, A., Sarangi, A., Singh, D.K., Mani, I., Bandyopadhyay, K. K., Dash, S. and Khanna, M. (2024). Evaluation of soft-computing techniques for pan evaporation estimation. Journal of Agrometeorology, 26(1), 56-62 (NAAS rating: 6.70) | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/81690 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Estimation of pan evaporation (Epan) can be useful in judicious irrigation scheduling for enhancing agricultural water productivity. The aim of present study was to assess the efficacy of state-of-the-art LSTM and ANN for daily Epan estimation using meteorological data. Besides this, the effect of static time-series (Julian date) as additional input variable was investigated on performance of soft-computing techniques. For this purpose, the models were trained, tested and validated with eight meteorological variables of 37 years by using preceding 1-, 3- and 5- days’ information. Data were partitioned into three groups as training (60%), testing (20%), and validation (20%) components. It was observed that the models performed well (best) with preceding 5-days meteorological information followed by 3-days and 1-day. However, all LSTMs simulated peak value of Epan was more accurate as compared to lower values. Meteorological data with julian date improved the performance of LSTMs (0.75<NSE 1; PBias< 10; KGE 0.75). The ANN trained using only meteorological data (preceding 5-days information) had better performance error statistics among all other ANNs and LSTMs with minimum MAE (0.68 to 0.86), RMSE (0.93 to 1.22), PBias (-0.73 to 2.44) and maximum NSE (0.83 to 0.84) and KGE (0.89 to 0.92). Overall, it was inferred that the forecasting of meteorological parameters using a few days preceding information along with Julian date as the time series variables resulted in better estimation of Epan for the study region. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Evaporation | en_US |
dc.subject | Prediction | en_US |
dc.subject | Neural network | en_US |
dc.subject | Irrigation scheduling | en_US |
dc.subject | LSTM network | en_US |
dc.title | Evaluation of soft-computing techniques for pan evaporation estimation | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Journal of Agrometeorology | en_US |
dc.publication.volumeno | 26(1) | en_US |
dc.publication.pagenumber | 56–62 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | Not Available | en_US |
dc.publication.authorAffiliation | ICAR- Indian Agricultural Research Institute, New Delhi- 110 012, India | en_US |
dc.publication.authorAffiliation | ICAR-Indian Institute of Water Management, Bhubaneshwar, Odisha | en_US |
dc.publication.authorAffiliation | Vasantrao Naik Marathwada Krishi Vidyapeeth, Parvani, Maharashtra- 431 402, India | en_US |
dc.publication.authorAffiliation | Division of Design of Experiments, ICAR-Indian Agricultural Statiscics Research Institute, New Delhi -110 012 | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.journaltype | Not Available | en_US |
dc.publication.naasrating | 6.70 | en_US |
dc.publication.impactfactor | Not Available | en_US |
Appears in Collections: | Others-Others-Publication |
Files in This Item:
There are no files associated with this item.
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.