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An artificial intelligence-enabled crop recommendation system

An artificial intelligence-enabled crop recommendation system

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliografiske detaljer
Main Authors: Uddin, Raiyan, Barua, Mrinmoy, Kabir, Mohammed Hossain, Nufayel, Muhammed, Sajid, Abu Sadman
Andre forfattere: Alam, Dr. Md. Ashraful
Format: Thesis
Sprog:English
Udgivet: Brac University 2023
Fag:
Nitrogen
Phosphorus
Potassium
Sulfur
Zinc
Boron
NPK
SZB
Machine learning.
Artificial intelligence.
Online adgang:http://hdl.handle.net/10361/20014
  • Beholdninger
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Internet

http://hdl.handle.net/10361/20014

Lignende værker

  • Portable UV-spectrophotometer to determine the concentration of potassium
    af: Kabir, Ifran, et al.
    Udgivet: (2017)
  • Zinc and human health : results of recent trials and implications for program interventions and research /
    Udgivet: (2000)
  • Isolation, identification and characterization of Rhizobium from hyacinth bean (Lablab niger) root nodule and study its effect on plant growth and nitrogen fixation ability
    af: Yshita, Khadiza Nasrin
    Udgivet: (2018)
  • N.P.K. based crop suggesting model
    af: Iftekher, Asif, et al.
    Udgivet: (2020)
  • Bandstru cture observation of graphene nanoribb on and boron-nitride nanoribbon embedded graphene nanoribbon
    af: Haque, Fatin Farhan, et al.
    Udgivet: (2016)

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