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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Flood Prediction Using Machine Learning |
| Authors Name: | T .Ram Priyatham , K.Sai Sateesh , K. Siva Prasad, , Dr.L.Nalini Joseph |
| Unique Id: | IJSDR2305106 |
| Published In: | Volume 8 Issue 5, May-2023 |
| Abstract: | Weather forecasting has historically been performed with air frame fashions, which are inconsistent with disturbances and consequently had been erroneous over long periods of time. Because machine mastering methods are more prone to perturbations, in this article we explore their application to weather forecasting to doubtlessly generate extra correct weather forecasts over longer periods. The scope of this article is limited to predicting the maximum and minimal temperatures for seven days, contemplating the weather records of the closing two days. A linear regression model and a variance regression version are used to capture weather tendencies. The essential goal of this dissertation turned into to predict rainfall using mining techniques. The purpose of this dissertation changed into to tell farmers approximately the possibility of rains a good deal in advance. As a end result, there may be fewer troubles. Basically this thesis will make contributions to the agricultural sector. Every yr a few areas are submerged below water because of the rains. As a result, agricultural fields are badly broken and lots of herds of cattle suffer from this. Many homes have additionally fallen into disrepair due to storms and floods that affect each day life. Most of the victims are human beings dwelling at the banks of the river. Not simplest the population of these areas suffer, however additionally different villages, as such situations result in a meals crisis. This end becomes finished using device studying algorithms. |
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| Cite Article: | "Flood Prediction Using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.712 - 716, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305106.pdf |
| Downloads: | 000222060 |
| Publication Details: | Published Paper ID: IJSDR2305106 Registration ID:206267 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: 712 - 716 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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