Exploring machine learning techniques for symptom-based detection of livestock diseases

Exploring machine learning techniques for symptom-based detection of livestock diseases

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.

Manylion Llyfryddiaeth
Prif Awduron:	Niloy, Mahir Ahmed, Bhowmik, Tanmay, Abedin, Jennifer, Ferdous, Syeda Jannatul, Jahan, Ishrat
Awduron Eraill:	Noor, Jannatun
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	Brac University 2024
Pynciau:	Livestock disease Disease detection Neural network Ensemble model Gradient boosting classifier Machine learning Neural networks (Computer science). Livestock > Diseases. Deep learning.
Mynediad Ar-lein:	http://hdl.handle.net/10361/24268

Eitemau Tebyg

Use of machine learning and IoT for monitoring and tracking of livestock
gan: Aunindita, Rudaba Farhin, et al.
Cyhoeddwyd: (2023)

Application of machine learning techniques on the context of livestock analysis
gan: Islam, Md. Shajedul, et al.
Cyhoeddwyd: (2018)

Livestock resources in Bangladesh : present status and future potential /
gan: Ālama, Jāhāṅgīra
Cyhoeddwyd: (1995)

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
gan: Ghosh, Kawshik Kumar, et al.
Cyhoeddwyd: (2023)

Agriculture and livestock programme
gan: Ahmed, Tanvir
Cyhoeddwyd: (2016)

X-Ray classification to detect COVID-19 using ensemble model
gan: Solaiman, Ishmam Ahmed, et al.
Cyhoeddwyd: (2021)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
gan: Shawan, Naveed Rahman, et al.
Cyhoeddwyd: (2019)

Detecting online recruitment fraud by using machine learning
gan: Ghosh, Gitanjali, et al.
Cyhoeddwyd: (2021)

Association between household livestock ownership and childhood stunting in Bangladesh – A spatial analysis
gan: Hossain, Md. Belal, et al.
Cyhoeddwyd: (2022)

The activities of accounts and finance department of the dairy and livestock program of SOJAG
gan: Matin, Yusuf Ibn
Cyhoeddwyd: (2019)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
gan: Ferdous, Md.Rubaiat, et al.
Cyhoeddwyd: (2024)

An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
gan: Bhuiyan, Mahdi Hasan, et al.
Cyhoeddwyd: (2024)

Early detection of chronic kidney disease using machine learning
gan: Abrar, Tahmid, et al.
Cyhoeddwyd: (2019)

Maximum livestock production from minimum land : proceedings of the fourth seminar held from 2nd to 5th of February 1981 at the Bangladesh Agricultural University, Mymensingh Bangladesh /

Efficient image processing and machine learning approach for predicting retinal diseases
gan: Hasib, Mehadi Hasan, et al.
Cyhoeddwyd: (2021)

Plant leaf disease identification
gan: Hasan Mahin, Mohammad Rakibul, et al.
Cyhoeddwyd: (2024)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
gan: Turjo, Aquib Abtahi, et al.
Cyhoeddwyd: (2021)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
gan: Ifty, Md. Hasin Sarwar, et al.
Cyhoeddwyd: (2024)

A deep learning approach for prediction of ADHD using brain structure
gan: Siam, Shafin Ahad, et al.
Cyhoeddwyd: (2024)

Smallholder livestock development project Bangladesh: third misssion report, phase IV
gan: BRAC
Cyhoeddwyd: (2016)

Building a credit scoring model to assign a reference score based on credit transaction and relevant profile data
gan: Islam, Saqib Al, et al.
Cyhoeddwyd: (2020)

Deep learning based early Glaucoma detection
gan: Islam, Aabrar, et al.
Cyhoeddwyd: (2024)

Maximum livestock production from minimum land : proceedings of the third seminar, held from 13th to 18th February 1982 at Bangladesh Agricultural Research Institute, Joydebpur /

Medical image reader powered by artificial intelligence
gan: Palok, Tanvir Ahmed, et al.
Cyhoeddwyd: (2024)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
gan: Datta, Nirjhor, et al.
Cyhoeddwyd: (2024)

Center for self riliance : a place for learning and sharing
gan: Arefin, Md. Abrarul
Cyhoeddwyd: (2018)

Plant disease detection using convolutional neural network
gan: Hossain, Mohammad Shifat, et al.
Cyhoeddwyd: (2021)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
gan: Sagor, Mostofa Kamal, et al.
Cyhoeddwyd: (2021)

Predicting Novel Coronavirus (nCoV) strains detecting the mutation process applying neural networking
gan: Rafi, Abdullah Hasan Sajjad, et al.
Cyhoeddwyd: (2024)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
gan: Shahriar, Farhan, et al.
Cyhoeddwyd: (2021)

Detection of early stages of Parkinson's disease by analyzing fMRI data and machine learning approaches
gan: Neehal, Ahmed Hasin, et al.
Cyhoeddwyd: (2020)

Tomato leaf disease detection using convolutional neural network
gan: Hasan, Md. Riazul, et al.
Cyhoeddwyd: (2023)

Thoracic complication detection on chest X-rays using deep learning
gan: Ratul, Rizwanul Hoque, et al.
Cyhoeddwyd: (2021)

An early assessment of CFPR II support packages
gan: Das, Narayan Chandra, et al.
Cyhoeddwyd: (2022)

PlantGuard: intelligent plant disease detection
gan: Khanom, Nazifa
Cyhoeddwyd: (2024)

Heart disease prediction system
gan: Amit, Tayab Al Azad, et al.
Cyhoeddwyd: (2022)

Prediction on large scale data using extreme gradient boosting
gan: Sawon, Md.Tariq Hasan, et al.
Cyhoeddwyd: (2016)

Heart disease prediction using machine learning algorithms
gan: Ali, Musfiq, et al.
Cyhoeddwyd: (2019)

Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
gan: Niloy, Ahashan Habib, et al.
Cyhoeddwyd: (2021)

Early detection of parkinson’s disease using image processing and artificial neural network
gan: Rumman, Mosarrat, et al.
Cyhoeddwyd: (2018)