Informatics in Poultry Production (eBook)
XIV, 156 Seiten
Springer Nature Singapore (Verlag)
978-981-19-2556-6 (ISBN)
This book discusses table and hatching eggs, quality-based grading of eggs, pre-incubation, incubation, hatching and post-hatch monitoring period, and how the next-generation management of these process can be enriched by informatics through non-destructive technologies, signal processing, machine learning, AI, IoT applications, etc. This book will be a beneficial resource for egg and poultry science researchers, avian biologists and ecologists, developmental biologists, agricultural engineers, advanced graduate and postgraduate students, and poultry production industry stakeholders.
?Dr. Alin Khaliduzzaman is working as a JSPS post-doctoral research fellow in Kyoto University, Japan. He is also serving as Assistant Professor in the Faculty of Agricultural Engineering and Technology at Sylhet Agricultural University, Bangladesh. He did his Master and Ph.D. in Bio-Sensing Engineering (major in egg and chick research) from Kyoto University, Japan. Noted that Kyoto University is the number one university in Japan in terms of research reputation and QS 2020 world ranking is 33. During the Ph.D. studies, he has opened up a new research domain in scientific world in the field of non-destructive chicken egg research by keeping in mind with the global animal food security and to feed the future generation. Recently, this young professional has been awarded Young Researcher Encouragement Award by Kansai Branch of Japanese Society of Agricultural Machinery and Food Engineers. He has been also awarded many conference presentation awards by various prestigious academic societies in Japan and aboard. Currently, his current research interest is on application of informatics in egg and poultry research (e.g., computer vision; UV-induced florescence images; terahertz spectroscopy; signal processing; machine learning; AI, etc.).
This book discusses table and hatching eggs, quality-based grading of eggs, pre-incubation, incubation, hatching and post-hatch monitoring period, and how the next-generation management of these process can be enriched by informatics through non-destructive technologies, signal processing, machine learning, AI, IoT applications, etc. This book will be a beneficial resource for egg and poultry science researchers, avian biologists and ecologists, developmental biologists, agricultural engineers, advanced graduate and postgraduate students, and poultry production industry stakeholders.?
| Erscheint lt. Verlag | 30.11.2022 |
|---|---|
| Zusatzinfo | XIV, 156 p. 76 illus., 48 illus. in color. |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
| Naturwissenschaften ► Biologie ► Mikrobiologie / Immunologie | |
| Technik ► Lebensmitteltechnologie | |
| Weitere Fachgebiete ► Land- / Forstwirtschaft / Fischerei | |
| Schlagworte | Egg Quality Indicators • Machine Learning in Data Modelling • Non-destructive Grading Methods • Non-destructive Quality Assessment • Sanitary Control Procedures for • Smart Poultry Production System • Spectroscopy-Based Poultry |
| ISBN-10 | 981-19-2556-9 / 9811925569 |
| ISBN-13 | 978-981-19-2556-6 / 9789811925566 |
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