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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Niloy, Mahir Ahmed, Bhowmik, Tanmay, Abedin, Jennifer, Ferdous, Syeda Jannatul, Jahan, Ishrat
Άλλοι συγγραφείς:	Noor, Jannatun
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2024
Θέματα:	Livestock disease Disease detection Neural network Ensemble model Gradient boosting classifier Machine learning Neural networks (Computer science). Livestock > Diseases. Deep learning.
Διαθέσιμο Online:	http://hdl.handle.net/10361/24268

Παρόμοια τεκμήρια

Use of machine learning and IoT for monitoring and tracking of livestock
ανά: Aunindita, Rudaba Farhin, κ.ά.
Έκδοση: (2023)

Application of machine learning techniques on the context of livestock analysis
ανά: Islam, Md. Shajedul, κ.ά.
Έκδοση: (2018)

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

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
ανά: Ghosh, Kawshik Kumar, κ.ά.
Έκδοση: (2023)

Agriculture and livestock programme
ανά: Ahmed, Tanvir
Έκδοση: (2016)

X-Ray classification to detect COVID-19 using ensemble model
ανά: Solaiman, Ishmam Ahmed, κ.ά.
Έκδοση: (2021)

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

Detecting online recruitment fraud by using machine learning
ανά: Ghosh, Gitanjali, κ.ά.
Έκδοση: (2021)

Association between household livestock ownership and childhood stunting in Bangladesh – A spatial analysis
ανά: Hossain, Md. Belal, κ.ά.
Έκδοση: (2022)

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

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
ανά: Ferdous, Md.Rubaiat, κ.ά.
Έκδοση: (2024)

An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
ανά: Bhuiyan, Mahdi Hasan, κ.ά.
Έκδοση: (2024)

Early detection of chronic kidney disease using machine learning
ανά: Abrar, Tahmid, κ.ά.
Έκδοση: (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
ανά: Hasib, Mehadi Hasan, κ.ά.
Έκδοση: (2021)

Plant leaf disease identification
ανά: Hasan Mahin, Mohammad Rakibul, κ.ά.
Έκδοση: (2024)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
ανά: Turjo, Aquib Abtahi, κ.ά.
Έκδοση: (2021)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
ανά: Ifty, Md. Hasin Sarwar, κ.ά.
Έκδοση: (2024)

A deep learning approach for prediction of ADHD using brain structure
ανά: Siam, Shafin Ahad, κ.ά.
Έκδοση: (2024)

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

Building a credit scoring model to assign a reference score based on credit transaction and relevant profile data
ανά: Islam, Saqib Al, κ.ά.
Έκδοση: (2020)

Deep learning based early Glaucoma detection
ανά: Islam, Aabrar, κ.ά.
Έκδοση: (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
ανά: Palok, Tanvir Ahmed, κ.ά.
Έκδοση: (2024)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
ανά: Datta, Nirjhor, κ.ά.
Έκδοση: (2024)

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

Plant disease detection using convolutional neural network
ανά: Hossain, Mohammad Shifat, κ.ά.
Έκδοση: (2021)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
ανά: Sagor, Mostofa Kamal, κ.ά.
Έκδοση: (2021)

Predicting Novel Coronavirus (nCoV) strains detecting the mutation process applying neural networking
ανά: Rafi, Abdullah Hasan Sajjad, κ.ά.
Έκδοση: (2024)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
ανά: Shahriar, Farhan, κ.ά.
Έκδοση: (2021)

Detection of early stages of Parkinson's disease by analyzing fMRI data and machine learning approaches
ανά: Neehal, Ahmed Hasin, κ.ά.
Έκδοση: (2020)

Tomato leaf disease detection using convolutional neural network
ανά: Hasan, Md. Riazul, κ.ά.
Έκδοση: (2023)

Thoracic complication detection on chest X-rays using deep learning
ανά: Ratul, Rizwanul Hoque, κ.ά.
Έκδοση: (2021)

An early assessment of CFPR II support packages
ανά: Das, Narayan Chandra, κ.ά.
Έκδοση: (2022)

PlantGuard: intelligent plant disease detection
ανά: Khanom, Nazifa
Έκδοση: (2024)

Heart disease prediction system
ανά: Amit, Tayab Al Azad, κ.ά.
Έκδοση: (2022)

Prediction on large scale data using extreme gradient boosting
ανά: Sawon, Md.Tariq Hasan, κ.ά.
Έκδοση: (2016)

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

Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
ανά: Niloy, Ahashan Habib, κ.ά.
Έκδοση: (2021)

Early detection of parkinson’s disease using image processing and artificial neural network
ανά: Rumman, Mosarrat, κ.ά.
Έκδοση: (2018)