Enhancing crops production based on environmental status using machine learning techniques

Enhancing crops production based on environmental status using machine learning techniques

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Bibliografiset tiedot
Päätekijät:	Talukder, Shiyam, Jannat, Habiba, Saha, Sukanta, Sengupta, Katha
Muut tekijät:	Hossain, Muhammad Iqbal
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2021
Aiheet:	Agricultural productivity KNearest neighbor Collaborative filtering Fuzzy K-Nearest neighbor Machine learning
Linkit:	http://hdl.handle.net/10361/14731

Samankaltaisia teoksia

Effectiveness of data mining in predicting heart diseases
Tekijä: Afrin, Shahria, et al.
Julkaistu: (2018)

A feature selection approach to determine obesity using machine learning method
Tekijä: Antor, Shahidul Alam, et al.
Julkaistu: (2021)

Flood prediction using machine learning models
Tekijä: Syeed, Miah Mohammad Asif, et al.
Julkaistu: (2022)

Utilizing machine learning to project the nancial outcomes of reconnecting with potential customers of the same industry
Tekijä: Hossain, Shoumik, et al.
Julkaistu: (2022)

Prediction of earthquakes: a step towards predicting the unpredictable
Tekijä: Chowdhury, Maheen, et al.
Julkaistu: (2023)

Human recognition using wireless router signal
Tekijä: Chowdhury, S. M. A. Muksit, et al.
Julkaistu: (2019)

A comparative study of car image generation quality using DCGAN and VSGAN
Tekijä: Shayer, Mirza Ahmad, et al.
Julkaistu: (2022)

EMG controlled bionic robotic arm using artificial intelligence and machine learning
Tekijä: Rupom, Farhan Fuad, et al.
Julkaistu: (2021)

Sentiment analysis to determine employee job satisfaction using machine learning techniques
Tekijä: Mouli, Nazifa, et al.
Julkaistu: (2023)

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
Tekijä: Saad-Ul-Kabir, Syed, et al.
Julkaistu: (2021)

Cardiovascular disease prediction model using Machine Learning Algorithm
Tekijä: Arefin Mirdha, MD Shamsul
Julkaistu: (2023)

Automatic classified myocardial infarction detection using machine learning and forewarning system with location of the patient using GSM module
Tekijä: Shrestha, Soptorsi Paul, et al.
Julkaistu: (2021)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
Tekijä: Sarkar, Ripa, et al.
Julkaistu: (2024)

An approach to detect epileptic seizure using XAI and machine learning
Tekijä: Bijoy, Emam Hasan, et al.
Julkaistu: (2022)

Fuzzy sets and fuzzy logic : theory and applications /
Tekijä: Klir, George J., 1932-
Julkaistu: (2015)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
Tekijä: Rahee, Arnob, et al.
Julkaistu: (2021)

Parents’ perception on social determinants of outdoor play for 4 to 6 years old urban children
Tekijä: Nini, Mahsheed Noor
Julkaistu: (2022)

Implementing a recommender system for CS undergraduate students using machine learning
Tekijä: Tasnuva, Umama Sumlin, et al.
Julkaistu: (2019)

Intersectoral collaboration: an original way to promote community health promotion
Tekijä: Sarker, Malabika, et al.
Julkaistu: (2016)

Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
Tekijä: Al Amin, Istiak, et al.
Julkaistu: (2022)

Data analysis on the Bangladesh share market using Machine-Learning
Tekijä: Sadman, Syed Hassan, et al.
Julkaistu: (2021)

Implementation of fuzzy logic in autonomous irrigation system for efficient use of water
Tekijä: Haque, Mohammad Mahbubul, et al.
Julkaistu: (2018)

A study of using fuzzy logic based system for adaptation of precise insulin dosage for type II diabetes patients
Tekijä: Prima, Afroza Afrin
Julkaistu: (2019)

Fuzzy logic: a contemporary technique in refining physicians’ prescribed total daily insulin dosage for type 2 diabetes patients
Tekijä: Tareq, Md. Tariqul Islam
Julkaistu: (2019)

Adaptive filter theory /
Tekijä: Haykin, Simon S., 1931-
Julkaistu: (1996)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
Tekijä: Mahmud, Booshra Nazifa, et al.
Julkaistu: (2019)

Fuzzy modeling and genetic algorithms for data mining and exploration /
Tekijä: Cox, Earl
Julkaistu: (2005)

Fuzzy control and modeling : analytical foundations and applications /
Tekijä: Ying, Hao, 1958-
Julkaistu: (2000)

Fuzzy-neural control : principles, algorithms, and applications /
Tekijä: Nie, Junhong
Julkaistu: (1995)

Traffic condition awareness using kalman filter technique with the aid of arduino and matlab embedded system author
Julkaistu: (2018)

N.P.K. based crop suggesting model
Tekijä: Iftekher, Asif, et al.
Julkaistu: (2020)

Emotion detection using EEG signals
Tekijä: Hossain, Mohammad Adnan
Julkaistu: (2021)

MOOC mania: implications and collaboration for english language teachers
Tekijä: Miraj, Asek Amin, et al.
Julkaistu: (2018)

A novel parallel texture feature extraction method using log-gabor filter and singular value decomposition (SVD)
Tekijä: Ratul, Md Aminur Rab, et al.
Julkaistu: (2018)

Comparative study of 1D de-noising techniques using induction motor fault signals
Tekijä: Lamia, Rehnuma Tasnim, et al.
Julkaistu: (2016)

The business growth benefits of higher education /
Julkaistu: (2014)

Effect of affective filters in SLA: beginner level scenario
Tekijä: Masud, Fairuz Binte
Julkaistu: (2018)

Neural networks and learning machines /
Tekijä: Haykin, Simon S., 1931-
Julkaistu: (2009)

Evaluating the process of partnership and research in global health: Reflections from the STRIPE project
Tekijä: Kalbarczyk, Anna, et al.
Julkaistu: (2022)

Examining learners’ and instructors’ perspectives on the use of blended wiki sessions to improve professionals’ writing skills
Tekijä: Dutta, Debashismoy
Julkaistu: (2016)