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.

Библиографические подробности
Главные авторы:	Talukder, Shiyam, Jannat, Habiba, Saha, Sukanta, Sengupta, Katha
Другие авторы:	Hossain, Muhammad Iqbal
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2021
Предметы:	Agricultural productivity KNearest neighbor Collaborative filtering Fuzzy K-Nearest neighbor Machine learning
Online-ссылка:	http://hdl.handle.net/10361/14731

Схожие документы

Effectiveness of data mining in predicting heart diseases
по: Afrin, Shahria, и др.
Опубликовано: (2018)

A feature selection approach to determine obesity using machine learning method
по: Antor, Shahidul Alam, и др.
Опубликовано: (2021)

Flood prediction using machine learning models
по: Syeed, Miah Mohammad Asif, и др.
Опубликовано: (2022)

Utilizing machine learning to project the nancial outcomes of reconnecting with potential customers of the same industry
по: Hossain, Shoumik, и др.
Опубликовано: (2022)

Prediction of earthquakes: a step towards predicting the unpredictable
по: Chowdhury, Maheen, и др.
Опубликовано: (2023)

Human recognition using wireless router signal
по: Chowdhury, S. M. A. Muksit, и др.
Опубликовано: (2019)

A comparative study of car image generation quality using DCGAN and VSGAN
по: Shayer, Mirza Ahmad, и др.
Опубликовано: (2022)

EMG controlled bionic robotic arm using artificial intelligence and machine learning
по: Rupom, Farhan Fuad, и др.
Опубликовано: (2021)

Sentiment analysis to determine employee job satisfaction using machine learning techniques
по: Mouli, Nazifa, и др.
Опубликовано: (2023)

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
по: Saad-Ul-Kabir, Syed, и др.
Опубликовано: (2021)

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

Automatic classified myocardial infarction detection using machine learning and forewarning system with location of the patient using GSM module
по: Shrestha, Soptorsi Paul, и др.
Опубликовано: (2021)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
по: Sarkar, Ripa, и др.
Опубликовано: (2024)

An approach to detect epileptic seizure using XAI and machine learning
по: Bijoy, Emam Hasan, и др.
Опубликовано: (2022)

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

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
по: Rahee, Arnob, и др.
Опубликовано: (2021)

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

Implementing a recommender system for CS undergraduate students using machine learning
по: Tasnuva, Umama Sumlin, и др.
Опубликовано: (2019)

Intersectoral collaboration: an original way to promote community health promotion
по: Sarker, Malabika, и др.
Опубликовано: (2016)

Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
по: Al Amin, Istiak, и др.
Опубликовано: (2022)

Data analysis on the Bangladesh share market using Machine-Learning
по: Sadman, Syed Hassan, и др.
Опубликовано: (2021)

Implementation of fuzzy logic in autonomous irrigation system for efficient use of water
по: Haque, Mohammad Mahbubul, и др.
Опубликовано: (2018)

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

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

Adaptive filter theory /
по: Haykin, Simon S., 1931-
Опубликовано: (1996)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
по: Mahmud, Booshra Nazifa, и др.
Опубликовано: (2019)

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

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

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

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

N.P.K. based crop suggesting model
по: Iftekher, Asif, и др.
Опубликовано: (2020)

Emotion detection using EEG signals
по: Hossain, Mohammad Adnan
Опубликовано: (2021)

MOOC mania: implications and collaboration for english language teachers
по: Miraj, Asek Amin, и др.
Опубликовано: (2018)

A novel parallel texture feature extraction method using log-gabor filter and singular value decomposition (SVD)
по: Ratul, Md Aminur Rab, и др.
Опубликовано: (2018)

Comparative study of 1D de-noising techniques using induction motor fault signals
по: Lamia, Rehnuma Tasnim, и др.
Опубликовано: (2016)

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

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

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

Evaluating the process of partnership and research in global health: Reflections from the STRIPE project
по: Kalbarczyk, Anna, и др.
Опубликовано: (2022)

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