Table 6.
SWOT matrix of PLF in swine production—strengths and weaknesses.
| Strengths | Weaknesses |
|---|---|
| Integration of advanced technologies such as IoT, neural networks, and RGB cameras that increase precision in animal monitoring and identification [50,52]. | Challenges in validating positive animal welfare indicators, such as affective states, limiting the full effectiveness of the technologies [57,67]. |
| Significant contribution to more ethical and sustainable practices, aligned with consumer and societal expectations [20,73]. | Resistance from producers to adopt technologies due to high initial costs and perceived operational complexity [20,64]. |
| Increased production efficiency through real-time monitoring and automation of processes [105,107]. | Dependence on large volumes of data and the need for advanced technological infrastructure, which may be inaccessible to small producers [101]. |
| Improved animal welfare through systems that detect ab-normal behaviors and track health status [59,93]. | Lack of standardized metrics for assessing animal welfare and limited acceptance by producers [76]. |