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.

Dades bibliogràfiques
Autors principals:	Islam, Tanhim, Chisty, Tanjir Alam, Roy, Prova
Altres autors:	Chakrabarty, Amitabha
Format:	Thesis
Idioma:	English
Publicat:	BRAC University 2018
Matèries:	Crop yield prediction Deep neural network Agriculture Intelligent crop selection Artificial Intelligence Artificial intelligence > Agricultural applications Agriculture > Data processing.
Accés en línia:	http://hdl.handle.net/10361/10938

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