Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops

Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops

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

Bibliografski detalji
Glavni autori:	Hasan, Raad, Hossain, Romaiya, Ahmed, Farah, Md. Iftekhar Islam, Md. Iftekhar
Daljnji autori:	Rahman, Md. Khalilur
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2021
Teme:	Machine Learning Weather Prediction Land Area vs Crop Production Prediction Machine learning
Online pristup:	http://hdl.handle.net/10361/14992

Similar Items

Weather Pattern Extraction using Statistical Methods & Machine Learning Techniques
od: Habib, Adria Binte
Izdano: (2021)

Machine learning as an indicator for breast cancer prediction
od: Shadman, Tahsin Mohammed, i dr.
Izdano: (2019)

Weather forecasting using Deep Learning
od: Fahad, Sheikh Abdul, i dr.
Izdano: (2023)

Predicting climate induced floods using machine learning
od: Saleh, Chowdhury Nafis, i dr.
Izdano: (2022)

Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease
od: Amin, M.M. Shahriar, i dr.
Izdano: (2021)

Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
od: Islam, Zahedul, i dr.
Izdano: (2023)

Investigation assistant with suspect anticipating intelligence
od: Abdullah, Saqueeb, i dr.
Izdano: (2019)

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
od: Alhossen, Md., i dr.
Izdano: (2021)

Agricultural analysis and crop yield prediction of Habiganj using multispectral bands of satellite imagery with machine learning
od: Shahrin, Fariha, i dr.
Izdano: (2021)

Crop prediction based on geographical and climatic data using machine learning and deep learning
od: Alif, Al Amin, i dr.
Izdano: (2019)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
od: Toufique, S.M, i dr.
Izdano: (2024)

Prediction of anxiety and depression among the transgender in Bangladesh
od: Easha, Ishrat Jahan, i dr.
Izdano: (2023)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
od: Ahmed, Md. Sabbir, i dr.
Izdano: (2021)

A counseling system to predict the study path for freshmen
od: Usha, Rowshni Tasneem, i dr.
Izdano: (2019)

Predictive maintenance of HVAC system using supervised machine learning algorithms
od: Fahim, Md. Zubayer Ahmed, i dr.
Izdano: (2021)

Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
od: Bhattacharjee, Ruposri, i dr.
Izdano: (2024)

Flight fare prediction using machine learning
od: Noyon, Md. Shaim Hosan, i dr.
Izdano: (2024)

Machine learning for stress prediction
od: Salehin, Sherajus, i dr.
Izdano: (2023)

A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
od: Maliha, Miftahul Zannat, i dr.
Izdano: (2023)

An implementation and analysis of deep learning models for the detection of wheat diseases
od: Zubair, Ahmad, i dr.
Izdano: (2024)

Emotion analysis using machine learning model and deep learning model on DEAP dataset
od: Hasan, Anita, i dr.
Izdano: (2022)

Stock price prediction
od: Das, Kaushik, i dr.
Izdano: (2023)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
od: Islam, Roman, i dr.
Izdano: (2024)

Prediction of production rate for cultivable land correlating soil quality parameters and weather condition
od: Hassan, Mehedi, i dr.
Izdano: (2024)

Application of CNN based architectures in detection of distracted drivers
od: Arafin, Irfana, i dr.
Izdano: (2023)

Travel time prediction using machine learning and weather impact on traffic conditions
od: Deb, Bilash, i dr.
Izdano: (2018)

N.P.K. based crop suggesting model
od: Iftekher, Asif, i dr.
Izdano: (2020)

Implementing temporally coherent clustering on student activity to predict exam performance & optimizing the learning pathway through markov chain analysis
od: Anough, Ahmed Saquif Alam, i dr.
Izdano: (2019)

Comparative analysis and machine learning predictions of cervical cancer incidence: a multi-national study
od: Faisal, Shah
Izdano: (2024)

Breast cancer prediction using different machine learning models
od: Khandker Al- Muhaimin, i dr.
Izdano: (2020)

Prediction of earthquakes: a step towards predicting the unpredictable
od: Chowdhury, Maheen, i dr.
Izdano: (2023)

A machine learning approach to predicting and mitigating traffic congestion
od: Faisal, Abu Fatah Mohammed, i dr.
Izdano: (2024)

Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling
od: Safa, Bushra, i dr.
Izdano: (2023)

Fault detection and predictive maintenance in IoT-based building management system using machine learning
od: Sabuj, Khaja Sheikh Imran, i dr.
Izdano: (2022)

Heart disease prediction using machine learning algorithms
od: Ali, Musfiq, i dr.
Izdano: (2019)

RED-LSTM: Real time emotion detection using LSTM
od: Labiba, Mansura Rahman, i dr.
Izdano: (2023)

Predicting temperature of major cities using machine learning and deep learning
od: Jaharabi, Wasiou, i dr.
Izdano: (2024)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
od: Tasnim, Anika, i dr.
Izdano: (2022)

Forecasting stock market prices using advanced tools of machine learning
od: Anwar, Md. Tawhid, i dr.
Izdano: (2019)

Automated fabric color prediction
od: Muhtashima, Fawzia, i dr.
Izdano: (2024)