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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Uddin, Raiyan, Barua, Mrinmoy, Kabir, Mohammed Hossain, Nufayel, Muhammed, Sajid, Abu Sadman
Άλλοι συγγραφείς:	Alam, Dr. Md. Ashraful
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2023
Θέματα:	Nitrogen Phosphorus Potassium Sulfur Zinc Boron NPK SZB Machine learning. Artificial intelligence.
Διαθέσιμο Online:	http://hdl.handle.net/10361/20014

Παρόμοια τεκμήρια

Portable UV-spectrophotometer to determine the concentration of potassium
ανά: Kabir, Ifran, κ.ά.
Έκδοση: (2017)

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Isolation, identification and characterization of Rhizobium from hyacinth bean (Lablab niger) root nodule and study its effect on plant growth and nitrogen fixation ability
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Έκδοση: (2018)

N.P.K. based crop suggesting model
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Έκδοση: (2020)

Bandstru cture observation of graphene nanoribb on and boron-nitride nanoribbon embedded graphene nanoribbon
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Radiative lifetime measurement of excited neutral nitrogen atoms by time resolved laser-induced breakdown spectroscopy
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Smart agricultural system for crop monitoring and soil analysis
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A review on comparative analysis of antimicrobial activity of different metal and metal oxide nanoparticle-based fabric
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A review on melanoma treatment by cold atmospheric plasma
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Έκδοση: (2023)

Comparative analysis of antimicrobial activity of various nanoparticle-coated fabric: A review
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Έκδοση: (2024)

Improving Potassium Recommendations for Agricultural Crops
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Personalization in federated recommendation system using SVD++ with explainability
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Recommendation system for mood stabilization using content recommendation
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A deep neural network approach for intelligent crop selection and yield prediction based on 46 parameters for agricultural zone-28 in Bangladesh
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