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.

Bibliographic Details
Main Authors: Islam, Tanhim, Chisty, Tanjir Alam, Roy, Prova
Other Authors: Chakrabarty, Amitabha
Format: Thesis
Language:English
Published: BRAC University 2018
Subjects:
Crop yield prediction
Deep neural network
Agriculture
Intelligent crop selection
Artificial Intelligence
Artificial intelligence > Agricultural applications
Agriculture > Data processing.
Online Access:http://hdl.handle.net/10361/10938

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