Abstract
Poultry is the world’s most widespread bird species and the major contributor to ammonia and greenhouse gases emission. In order to improve poultry, productivity enterprises used new technological innovations to manage and monitor poultry farms. The objective of the study is to analyse the existing smart poultry management systems that allow taking a decision for the most appropriate feeding process and the lowest level of CO2 and NH3 emission. A smart poultry management system is a crucial component of modern poultry farm. The research directions and technologies related to smart poultry management systems are analysed, which are used for poultry productivity, health and welfare prediction. There is not much research on the use of a multi-criteria decision model in poultry farming, where productivity and welfare improvement and greenhouse gases emission reduction are taking into account at the same time. The necessary challenges of the smart platform implementation are designed for the improvement of poultry productivity and reduction of GHG emissions.
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Acknowledgements
The research leading to these results has received funding from the Specific Objective 1.1.1 “Improve research and innovation capacity and the ability of Latvian research institutions to attract external funding, by investing in human capital and infrastructure” 1.1.1.1. measure “Support for applied research” project No. 1.1.1.1/19/A/145 “HENCO2: Cloud based IT platform designed to improve poultry productivity and reduce greenhouse gas emissions”.
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Arhipova, I., Vitols, G., Paura, L., Jankovska, L. (2022). Smart Platform Designed to Improve Poultry Productivity and Reduce Greenhouse Gas Emissions. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 235. Springer, Singapore. https://doi.org/10.1007/978-981-16-2377-6_6
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