Today’s agriculture faces serious structural challenges such as an ageing population, urbanisation, labour shortages, and rising operational costs. For farmers, the high upfront costs of adopting new technologies remain a major barrier. To overcome these issues and ensure the sustainability of future agriculture, a shift toward advanced, third-generation smart farming systems is essential.
Thanks to rapid developments in IoT, big data, and artificial intelligence (AI), digital agriculture is evolving quickly. These technologies are already driving precision control and productivity in crop-based smart farms. However, in livestock farming—especially poultry management—smart technologies are still at an early stage, often limited to 1.5-generation systems.
To move toward a fully integrated, third-generation poultry smart farm, we must build on existing systems by standardising data, collecting real-time environmental information, and developing intelligent control algorithms.
This study, conducted in collaboration with seven institutions, aims to build an AI-driven environmental control and integrated poultry management system. Key components include:
Predicting ventilation needs under changing microclimate conditions,
Detecting abnormal birds and mortalities using AI-based image analysis,
Developing autonomous control algorithms based on real-time data.
Through this work, we aim to establish a technical standard model for next-generation poultry smart farms, enhancing both productivity and management efficiency through precision farming and intelligent automation.