Assisting Crop Selection for Farmer

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dc.contributor.authorUMASHREE R, KADIWAL
dc.contributor.authorMONISHA, V
dc.contributor.authorSWATHI, M N
dc.date.accessioned2018-06-19T10:34:41Z
dc.date.available2018-06-19T10:34:41Z
dc.date.issued2018-06-19T10:34:41Z
dc.description.abstractIn Farming based countries like INDIA, it is required for farmers to predict the yield of crop to be planted well before planting. If yield can be predicted, farmers can calculate their profit margin and decide which crop to plant. The prediction is based on three macro factors rainfall, humidity and temperature. In this project, we propose a Neuro Fuzzy system to predict the yield of crop and a ARIMA model to predict the price of crop.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/9444
dc.language.isoenen_US
dc.subjectUMASHREE R KADIWALen_US
dc.subjectMONISHA Ven_US
dc.subjectSWATHI M Nen_US
dc.subject1NH14CS414en_US
dc.subject1NH13CS071en_US
dc.subject1NH13CS422en_US
dc.titleAssisting Crop Selection for Farmeren_US
dc.typeOtheren_US
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