Sensitive Livestock and Information Communication Technology Applications to Prevent the Spread of Covid-19
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Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The epidemic disease called COVID-19 (SARS-CoV-2) has affected the whole world. With the spread of the epidemic, various measures such as distance education, home-office, and especially movement restrictions, have been tried to be taken. These measures have increased people's demand for healthy food. The formation of food safety awareness among in consumers has revealed the necessity of control of the controlling food chain (production, storage, transportation of products, etc.). In this process, animal products gained importance, especially as people paid more attention to their nutrition compared to previous years. Especially in this process, animal production should be systematically sustainable in order to meet the increasing animal protein needs of people. In this review, it aims to compile sensitive livestock systems in order to ensure the sustainability of animal production, the production of healthier animals and the production of the obtained products within the framework of food safety rules, with the cessation of mobility due to the measures taken under quarantine and social distance in the COVID-19 epidemic. Thus, in addition to reducing the human workforce during the epidemic process, the data collected with modern animal husbandry will prevent diseases, and facilitate the diagnosis and treatment processes in the event of a disease. With the use of information and communication technologies (ICT), which have an important place in this system, the data obtained through the modern livestock system can be easily processed, managed, and shared, thus reducing the possibility of disease transmission during the pandemic process.
Açıklama
Anahtar Kelimeler
Biyoloji, Balıkçılık, Beslenme ve Diyetetik, Yeşil, Sürdürülebilir Bilim ve Teknoloji, Tarımsal Ekonomi ve Politika, Veterinerlik, Covid-19, Artificial intelligence, Data, Animal production, Sensitive livestock, Information communication technologies
Kaynak
Black Sea Journal of Agriculture
WoS Q Değeri
Scopus Q Değeri
Cilt
6
Sayı
1
