A deep neural network approach for intelligent crop selection and yield prediction based on 46 parameters for agricultural zone-28 in Bangladesh

A deep neural network approach for intelligent crop selection and yield prediction based on 46 parameters for agricultural zone-28 in Bangladesh

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Bibliografiska uppgifter
Huvudupphovsmän: Islam, Tanhim, Chisty, Tanjir Alam, Roy, Prova
Övriga upphovsmän: Chakrabarty, Amitabha
Materialtyp: Lärdomsprov
Språk:English
Publicerad: BRAC University 2018
Ämnen:
Crop yield prediction
Deep neural network
Agriculture
Intelligent crop selection
Artificial Intelligence
Artificial intelligence > Agricultural applications
Agriculture > Data processing.
Länkar:http://hdl.handle.net/10361/10938

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