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 …

Transfer learning-based generative adversarial network model for tropical cyclone wind speed reconstruction from SAR images

X Li, X Han, J Yang, J Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) plays a crucial role in monitoring the fine structure of tropical
cyclones, but its effectiveness is constrained by limitations such as signal degradation and …

A Novel Active Solution for Two-Dimensional Face Presentation Attack Detection

M Pooshideh - arxiv preprint arxiv:2212.06958, 2022 - arxiv.org
Identity authentication is the process of verifying one's identity. There are several identity
authentication methods, among which biometric authentication is of utmost importance …

Deep learning-based defect detection on livestock operations

HS Kim, N Muallifah, Y Cho, B Lee, MY Yi - Proceedings of the …, 2022 - dl.acm.org
The recent growth of computer vision system research has contributed to the advancement
of livestock operations including meat processing. However, the defect detection of livestock …

Improving Performance With Feature Selection, Extraction, and Learning

VK Patil, V Shinde, R Singh… - … in Computer Vision for …, 2024 - Wiley Online Library
In order to find significant features from raw data in the face of rising data volume and
complexity, this study looks at feature selection, extraction, and training methods in machine …

AI-Driven Decision-Making and Optimization in Modern Agriculture Sectors

DJ Jebadurai, MVV Sheela, L Rajeshkumar… - … Design Methods to …, 2024 - igi-global.com
AI-driven decision-making tools have emerged as a novel technology poised to replace
traditional agricultural practices. In this chapter, AI's pivotal role in steering the agricultural …

A Hybrid Of Capsule and Dense Neural Networks with backward Regression model for Coffee leaf disease identification

J Jepkoech - 2023 - repository.embuni.ac.ke
Diseases that affect coffee have serious repercussions for policymakers, seed industries,
farmers, and consumers. Over the years, farmers have had to travel long distances …

[PDF][PDF] Artificial intelligence-enabled livestock recognition in transport

I Bakhshayeshi - 2022 - figshare.mq.edu.au
Livestock is transported to various locations over their lifetime. While conventional
identification methods such as hot iron branding are against animal welfare, the current …

이미지 기반 축산물 불량 탐지에서의 희소 클래스 처리 전략.

이범호, 조예성, 이문용 - Journal of the Korea Institute of …, 2022 - search.ebscohost.com
요 약인공지능 기술의 발전으로 산업 4.0 시대가 열렸고 축산업에서도 ICT 기술이 접목된
스마트 농장의 구현이 큰 관심을 받고 있다. 그중에서도 컴퓨터 비전 기반 인공지능 기술을 …

Automated Detection and Classification of Rice Leaf Diseases Using Hybrid Deep Learning CNN

JC Calfoforo, LM Amar… - Journal of Namibian …, 2023 - namibian-studies.com
Rice (Oryza sativa) is one of the most widely cultivated crops in the Philippines. However,
several diseases affect this crop, significantly reducing its quality and production. It is crucial …