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

Lignende værker

Portable UV-spectrophotometer to determine the concentration of potassium
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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
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Udgivet: (2020)

Bandstru cture observation of graphene nanoribb on and boron-nitride nanoribbon embedded graphene nanoribbon
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Udgivet: (2016)

Radiative lifetime measurement of excited neutral nitrogen atoms by time resolved laser-induced breakdown spectroscopy
af: Haider, A F M Yusuf, et al.
Udgivet: (2017)

Smart agricultural system for crop monitoring and soil analysis
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Udgivet: (2024)

A review on comparative analysis of antimicrobial activity of different metal and metal oxide nanoparticle-based fabric
af: Farah, Tahsin Anjum
Udgivet: (2021)

A review on melanoma treatment by cold atmospheric plasma
af: Pranto, Alif Hasan
Udgivet: (2023)

Comparative analysis of antimicrobial activity of various nanoparticle-coated fabric: A review
af: Farah, Tahsin Anjum
Udgivet: (2024)

Improving Potassium Recommendations for Agricultural Crops
Udgivet: (2021)

Personalization in federated recommendation system using SVD++ with explainability
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Udgivet: (2022)

Recommendation system for mood stabilization using content recommendation
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Udgivet: (2024)

Analytical documentation of the artificial insemination programme of BRAC
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Udgivet: (2019)

Crop prediction based on geographical and climatic data using machine learning and deep learning
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Udgivet: (2019)

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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Udgivet: (2018)

Advanced electronic security and safety system using artificial intelligence
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Implementing A.I based solutions to understand & predict consumer sentiment
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NLP-based AI robot for intelligent interaction
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Crop Improvement
Udgivet: (2013)

The Potato Crop
Udgivet: (2020)

Corporate Crops
af: Pechlaner

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af: Mitchell