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Fang Wang, Xueliang Fu, Weijun Duan, Buyu Wang and Honghui Li
The utilization of ear tags for identifying breeding pigs is a widely used technique in the field of animal production. Ear tag dropout can lead to the loss of pig identity information, resulting in missing data and ambiguity in production management and...
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Elham Azizi and Loutfouz Zaman
According to the American Humane Association, millions of cats and dogs are lost yearly. Only a few thousand of them are found and returned home. In this work, we use deep learning to help expedite the procedure of finding lost cats and dogs, for which a...
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Munir Ahmad, Sagheer Abbas, Areej Fatima, Ghassan F. Issa, Taher M. Ghazal and Muhammad Adnan Khan
The importance of accurate livestock identification for the success of modern livestock industries cannot be overstated as it is essential for a variety of purposes, including the traceability of animals for food safety, disease control, the prevention o...
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Theodora Ijeoma Ekwomadu and Mulunda Mwanza
Fusarium pathogens are ubiquitous and mainly associated with diseases in plants. They are the subject of great economic concern in agriculture due to crop losses to contamination of cereal grains with mycotoxins. Fusarium species are also considered agen...
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Mihaela Dumitru, Nicoleta Aurelia Lefter, Mihaela Habeanu, Georgeta Ciurescu, Dan C. Vodnar, Simon Elemer, Ionut Sorescu, Sergiu Emil Georgescu and Andreea Dudu
Fourteen lactic acid bacteria (LAB) strains were isolated from the intestinal tract and feces of piglets. Among these isolates, only twelve were biochemically (API 50 CHL and ABIS online for bacterial identification) and genetically (16S rRNA sequencing)...
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Adnan Aydin
Cotton is a major source of natural fibre for the global textile industry and is also an important oilseed crop. Cotton fibre is the main source of textiles, the seeds are used for oil and the remaining bagasse is used as high-protein animal feed. In add...
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Nhat Anh Le, Jucheol Moon, Christopher G. Lowe, Hyun-Il Kim and Sang-Il Choi
The recent progress in deep learning has given rise to a non-invasive and effective approach for animal biometrics. These modern techniques allow researchers to track animal individuals on a large-scale image database. Typical approaches are suited to a ...
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Hind R. Mohammed and Zahir M. Hussain
Accurate, fast, and automatic detection and classification of animal images is challenging, but it is much needed for many real-life applications. This paper presents a hybrid model of Mamdani Type-2 fuzzy rules and convolutional neural networks (CNNs) a...
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Chengbin Peng, Carlos M. Duarte, Daniel P. Costa, Christophe Guinet, Robert G. Harcourt, Mark A. Hindell, Clive R. McMahon, Monica Muelbert, Michele Thums, Ka-Chun Wong and Xiangliang Zhang
The analysis of animal movement from telemetry data provides insights into how and why animals move. While traditional approaches to such analysis mostly focus on predicting animal states during movement, we describe an approach that allows us to identif...
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Adeoye-Agomoh Queen Chisom
Abstract The epidemiology of food borne disease is changing. New pathogens have emerged, and some have spread worldwide. The broad spectrum of food borne infections has changed dramatically over time, as well-established pathogens have been controll...
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