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.

書目詳細資料
Main Authors:	Niloy, Mahir Ahmed, Bhowmik, Tanmay, Abedin, Jennifer, Ferdous, Syeda Jannatul, Jahan, Ishrat
其他作者:	Noor, Jannatun
格式:	Thesis
語言:	English
出版:	Brac University 2024
主題:	Livestock disease Disease detection Neural network Ensemble model Gradient boosting classifier Machine learning Neural networks (Computer science). Livestock > Diseases. Deep learning.
在線閱讀:	http://hdl.handle.net/10361/24268

相似書籍

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

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

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

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

Agriculture and livestock programme
由: Ahmed, Tanvir
出版: (2016)

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

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

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

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

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

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

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

Early detection of chronic kidney disease using machine learning
由: Abrar, Tahmid, et al.
出版: (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
由: Hasib, Mehadi Hasan, et al.
出版: (2021)

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

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

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

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

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

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

Deep learning based early Glaucoma detection
由: Islam, Aabrar, et al.
出版: (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
由: Palok, Tanvir Ahmed, et al.
出版: (2024)

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

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

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

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

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

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

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

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

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

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

PlantGuard: intelligent plant disease detection
由: Khanom, Nazifa
出版: (2024)

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

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

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

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

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