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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Islam, Tanhim, Chisty, Tanjir Alam, Roy, Prova
مؤلفون آخرون: Chakrabarty, Amitabha
التنسيق: أطروحة
اللغة:English
منشور في: BRAC University 2018
الموضوعات:
Crop yield prediction
Deep neural network
Agriculture
Intelligent crop selection
Artificial Intelligence
Artificial intelligence > Agricultural applications
Agriculture > Data processing.
الوصول للمادة أونلاين:http://hdl.handle.net/10361/10938

الانترنت

http://hdl.handle.net/10361/10938

مواد مشابهة