Prediction of Rainfall Using Intensified Lstm and Rule based Crop Recommendation Over Drought Period

dc.contributor.guidePushpalatha M
dc.coverage.spatial
dc.creator.researcherPoornima S
dc.date.accessioned2021-09-03T05:04:46Z
dc.date.available2021-09-03T05:04:46Z
dc.date.awarded
dc.date.completed2021
dc.date.registered
dc.description.abstractWeather forecasting is an essential part of several applications such as marine, air traffic, newlinemilitary, etc., to take preventive measures on the unusual situation due to nature. newlineAgriculture is an important application that relies majorly on several climatic factors like newlinerainfall, temperature, humidity, etc., for successful growth of crops. It is one of the main newlinesectors that decides the socio-economic status of a country as well. Hence it is imperative newlineto analyse the climatic data efficiently in order to reduce the risk of crop failures. Data newlineanalysis will assist in forecasting various weather parameters from which appropriate newlinedecisions can be made for future actions newline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent
dc.identifier.urihttp://hdl.handle.net/10603/338861
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Science Engineering
dc.publisher.placeKattankulathur
dc.publisher.universitySRM University
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Hardware and Architecture
dc.subject.keywordEngineering and Technology
dc.titlePrediction of Rainfall Using Intensified Lstm and Rule based Crop Recommendation Over Drought Period
dc.title.alternative
dc.type.degreePh.D.

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