Yield prediction for precision agriculture using extreme gradient boosting and support vector regression

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Ahmed, Md. Sabbir, Tazwar, Md. Tasin, Khan, Haseen, Roy, Swadhin, Iqbal, Junaed
Άλλοι συγγραφείς:	Alam, Md. Golam Rabiul
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2021
Θέματα:	Population Growth Cultivable Lands Precision Agriculture Machine Learning XGBoost Support Vector Machine Yield Prediction Machine learning
Διαθέσιμο Online:	http://hdl.handle.net/10361/15367

Παρόμοια τεκμήρια

Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
ανά: Rayhan, Mohammad, κ.ά.
Έκδοση: (2020)

Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
ανά: Bhattacharjee, Ruposri, κ.ά.
Έκδοση: (2024)

Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
ανά: Ahmed, Sajjad
Έκδοση: (2019)

Heart disease prediction using machine learning algorithms
ανά: Ali, Musfiq, κ.ά.
Έκδοση: (2019)

A machine learning approach to predict young voter enthusiasm based on non-political factors
ανά: Rahman, Md. Nowroz Junaed, κ.ά.
Έκδοση: (2021)

Performance analysis of machine learning classi ers for detecting PE malware
ανά: Azmee, ABM.Adnan, κ.ά.
Έκδοση: (2020)

Public vehicle ETA system using machine learning
ανά: Kabir, Md. Miraz, κ.ά.
Έκδοση: (2018)

Flight fare prediction using machine learning
ανά: Noyon, Md. Shaim Hosan, κ.ά.
Έκδοση: (2024)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
ανά: Tasnim, Anika, κ.ά.
Έκδοση: (2022)

Predicting depression in Bangladeshi undergraduates using machine learning
ανά: Choudhury, Ahnaf Atef, κ.ά.
Έκδοση: (2019)

Analysis of the impact of online education using EEG signals and machine learning algorithms
ανά: Hoque, Ehsanul, κ.ά.
Έκδοση: (2021)

A comparative study of deep learning methods for automating road condition characterization
ανά: Ruhi, Zurana Mehrin, κ.ά.
Έκδοση: (2021)

Alumni opportunities using machine learning
ανά: Siaum, Arshif Sharlimin, κ.ά.
Έκδοση: (2019)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
ανά: Boateng, Albert, κ.ά.
Έκδοση: (2024)

Machine learning as an indicator for breast cancer prediction
ανά: Shadman, Tahsin Mohammed, κ.ά.
Έκδοση: (2019)

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
ανά: Alhossen, Md., κ.ά.
Έκδοση: (2021)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
ανά: Toufique, S.M, κ.ά.
Έκδοση: (2024)

A machine learning approach to detect depression and anxiety using supervised learning
ανά: Ullas, Md Tahmidur Rahman, κ.ά.
Έκδοση: (2019)

Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
ανά: Sakib, Hasibul, κ.ά.
Έκδοση: (2024)

Observing mega cities to grow from space and predicting its growth using machine learning techniques
ανά: Chakma, Mitesh, κ.ά.
Έκδοση: (2018)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
ανά: Islam, Roman, κ.ά.
Έκδοση: (2024)

Predicting climate induced floods using machine learning
ανά: Saleh, Chowdhury Nafis, κ.ά.
Έκδοση: (2022)

The influence of neuromarketing: machine learning based empirical analysis
ανά: Muktadir, MD. Abdullah Al, κ.ά.
Έκδοση: (2024)

Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
ανά: Chowdhury, Himadri, κ.ά.
Έκδοση: (2019)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
ανά: Shawan, Naveed Rahman, κ.ά.
Έκδοση: (2019)

Agricultural analysis and crop yield prediction of Habiganj using multispectral bands of satellite imagery with machine learning
ανά: Shahrin, Fariha, κ.ά.
Έκδοση: (2021)

Fault detection in waste water treatment plant using statistical analysis & machine learning
ανά: Haque, Md. Ezazul, κ.ά.
Έκδοση: (2019)

Analysing Facebook user risk using machine learning algorithm
ανά: Barua, Arnab, κ.ά.
Έκδοση: (2021)

Bank loan prediction using machine learning
ανά: Mahottam, Parthosarothi, κ.ά.
Έκδοση: (2023)

Using deep learning algorithms to detect violent activities
ανά: Ammar, S.M. Rojin, κ.ά.
Έκδοση: (2019)

Crop prediction based on geographical and climatic data using machine learning and deep learning
ανά: Alif, Al Amin, κ.ά.
Έκδοση: (2019)

Application of machine learning in credit risk assessment: a prelude to smart banking
ανά: Dhruba, Mir Ishrak Maheer, κ.ά.
Έκδοση: (2019)

Application of CNN based architectures in detection of distracted drivers
ανά: Arafin, Irfana, κ.ά.
Έκδοση: (2023)

Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
ανά: Fahim, Kaji Mehedi Hasan, κ.ά.
Έκδοση: (2024)

An implementation and analysis of deep learning models for the detection of wheat diseases
ανά: Zubair, Ahmad, κ.ά.
Έκδοση: (2024)

Real-time foul detection in football matches using machine learning techniques
ανά: Siddiqui, Bishal Sadi, κ.ά.
Έκδοση: (2024)

A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
ανά: Raizan, Syed Ahsan, κ.ά.
Έκδοση: (2021)

Quantum lattice learning and explainable artificial intelligence for maternal and child healthcare
ανά: Marvin, Ggaliwango
Έκδοση: (2022)

Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops
ανά: Hasan, Raad, κ.ά.
Έκδοση: (2021)

Genetic algorithms in search, optimization, and machine learning /
ανά: Goldberg, David E. (David Edward), 1953-
Έκδοση: (1989)