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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Niloy, Mahir Ahmed, Bhowmik, Tanmay, Abedin, Jennifer, Ferdous, Syeda Jannatul, Jahan, Ishrat
مؤلفون آخرون:	Noor, Jannatun
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2024
الموضوعات:	Livestock disease Disease detection Neural network Ensemble model Gradient boosting classifier Machine learning Neural networks (Computer science). Livestock > Diseases. Deep learning.
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/24268

مواد مشابهة

Use of machine learning and IoT for monitoring and tracking of livestock
بواسطة: Aunindita, Rudaba Farhin, وآخرون
منشور في: (2023)

Application of machine learning techniques on the context of livestock analysis
بواسطة: Islam, Md. Shajedul, وآخرون
منشور في: (2018)

Livestock resources in Bangladesh : present status and future potential /
بواسطة: Ālama, Jāhāṅgīra
منشور في: (1995)

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
بواسطة: Ghosh, Kawshik Kumar, وآخرون
منشور في: (2023)

Agriculture and livestock programme
بواسطة: Ahmed, Tanvir
منشور في: (2016)

X-Ray classification to detect COVID-19 using ensemble model
بواسطة: Solaiman, Ishmam Ahmed, وآخرون
منشور في: (2021)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
بواسطة: Shawan, Naveed Rahman, وآخرون
منشور في: (2019)

Detecting online recruitment fraud by using machine learning
بواسطة: Ghosh, Gitanjali, وآخرون
منشور في: (2021)

Association between household livestock ownership and childhood stunting in Bangladesh – A spatial analysis
بواسطة: Hossain, Md. Belal, وآخرون
منشور في: (2022)

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

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
بواسطة: Ferdous, Md.Rubaiat, وآخرون
منشور في: (2024)

An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
بواسطة: Bhuiyan, Mahdi Hasan, وآخرون
منشور في: (2024)

Early detection of chronic kidney disease using machine learning
بواسطة: Abrar, Tahmid, وآخرون
منشور في: (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
بواسطة: Hasib, Mehadi Hasan, وآخرون
منشور في: (2021)

Plant leaf disease identification
بواسطة: Hasan Mahin, Mohammad Rakibul, وآخرون
منشور في: (2024)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
بواسطة: Turjo, Aquib Abtahi, وآخرون
منشور في: (2021)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
بواسطة: Ifty, Md. Hasin Sarwar, وآخرون
منشور في: (2024)

A deep learning approach for prediction of ADHD using brain structure
بواسطة: Siam, Shafin Ahad, وآخرون
منشور في: (2024)

Smallholder livestock development project Bangladesh: third misssion report, phase IV
بواسطة: BRAC
منشور في: (2016)

Building a credit scoring model to assign a reference score based on credit transaction and relevant profile data
بواسطة: Islam, Saqib Al, وآخرون
منشور في: (2020)

Deep learning based early Glaucoma detection
بواسطة: Islam, Aabrar, وآخرون
منشور في: (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
بواسطة: Palok, Tanvir Ahmed, وآخرون
منشور في: (2024)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
بواسطة: Datta, Nirjhor, وآخرون
منشور في: (2024)

Center for self riliance : a place for learning and sharing
بواسطة: Arefin, Md. Abrarul
منشور في: (2018)

Plant disease detection using convolutional neural network
بواسطة: Hossain, Mohammad Shifat, وآخرون
منشور في: (2021)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
بواسطة: Sagor, Mostofa Kamal, وآخرون
منشور في: (2021)

Predicting Novel Coronavirus (nCoV) strains detecting the mutation process applying neural networking
بواسطة: Rafi, Abdullah Hasan Sajjad, وآخرون
منشور في: (2024)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
بواسطة: Shahriar, Farhan, وآخرون
منشور في: (2021)

Detection of early stages of Parkinson's disease by analyzing fMRI data and machine learning approaches
بواسطة: Neehal, Ahmed Hasin, وآخرون
منشور في: (2020)

Tomato leaf disease detection using convolutional neural network
بواسطة: Hasan, Md. Riazul, وآخرون
منشور في: (2023)

Thoracic complication detection on chest X-rays using deep learning
بواسطة: Ratul, Rizwanul Hoque, وآخرون
منشور في: (2021)

An early assessment of CFPR II support packages
بواسطة: Das, Narayan Chandra, وآخرون
منشور في: (2022)

PlantGuard: intelligent plant disease detection
بواسطة: Khanom, Nazifa
منشور في: (2024)

Heart disease prediction system
بواسطة: Amit, Tayab Al Azad, وآخرون
منشور في: (2022)

Prediction on large scale data using extreme gradient boosting
بواسطة: Sawon, Md.Tariq Hasan, وآخرون
منشور في: (2016)

Heart disease prediction using machine learning algorithms
بواسطة: Ali, Musfiq, وآخرون
منشور في: (2019)

Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
بواسطة: Niloy, Ahashan Habib, وآخرون
منشور في: (2021)

Early detection of parkinson’s disease using image processing and artificial neural network
بواسطة: Rumman, Mosarrat, وآخرون
منشور في: (2018)