A systematic literature review on deep learning applications for precision cattle farming

MS Mahmud, A Zahid, AK Das, M Muzammil… - … and Electronics in …, 2021 - Elsevier
In animal agriculture, deep learning-based approaches have been widely implemented as a
decision support tool for precision farming. Several deep learning models have been …

The livestock farming digital transformation: implementation of new and emerging technologies using artificial intelligence

S Fuentes, CG Viejo, E Tongson… - Animal Health Research …, 2022 - cambridge.org
Livestock welfare assessment helps monitor animal health status to maintain productivity,
identify injuries and stress, and avoid deterioration. It has also become an important …

Contour extraction of individual cattle from an image using enhanced Mask R-CNN instance segmentation method

RW Bello, ASA Mohamed, AZ Talib - Ieee Access, 2021 - ieeexplore.ieee.org
In animal husbandry, the traceability of individual cattle, their health information, and
performance records greatly depend on computer vision and image processing-based …

[HTML][HTML] A systematic review of machine learning techniques for cattle identification: Datasets, methods and future directions

ME Hossain, MA Kabir, L Zheng, DL Swain… - Artificial Intelligence in …, 2022 - Elsevier
Increased biosecurity and food safety requirements may increase demand for efficient
traceability and identification systems of livestock in the supply chain. The advanced …

[HTML][HTML] Integrating artificial intelligence in dairy farm management− biometric facial recognition for cows

S Mahato, S Neethirajan - Information Processing in Agriculture, 2024 - Elsevier
Abstract The integration of Artificial Intelligence (AI) into dairy farm management through
biometric facial recognition of cows marks a significant milestone in livestock care. This …

An intelligence cattle reidentification system over transport by Siamese neural networks and yolo

I Bakhshayeshi, E Erfani, FR Taghikhah… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Livestock, throughout their lifespan, are transported to multiple destinations before being
processed into consumable goods. The assurance of authentic product delivery hinges on …

Shi-Tomasi corner detector for cattle identification from muzzle print image pattern

A Kaur, M Kumar, MK Jindal - Ecological Informatics, 2022 - Elsevier
Since the last decade, researchers have been using image processing and machine
learning to automatically analyse and identify patterns from images without any human …

Cattle identification: the history of nose prints approach in brief

RW Bello, DA Olubummo, Z Seiyaboh… - … Series: Earth and …, 2020 - iopscience.iop.org
Petersen was the first published paper to address cattle biometrics and identification
problem by suggesting a permanent cattle identification method based on nose print …

Enhanced Mask R-CNN for herd segmentation

RW Bello, ASA Mohamed, AZ Talib - International Journal of Agricultural …, 2021 - ijabe.org
Livestock image segmentation is an important task in the field of vision and image
processing. Since utilizing the concentration of forage in the grazing area with shielding the …

Computer vision-based approach for automatic detection of dairy cow breed

H Gupta, P Jindal, OP Verma, RK Arya, AA Ateya… - Electronics, 2022 - mdpi.com
Purpose: Identification of individual cow breeds may offer various farming opportunities for
disease detection, disease prevention and treatment, fertility and feeding, and welfare …