Behavior-specific Filtering for Enhanced Pig Behavior Classification in Precision Livestock Farming

Zhen Zhang, Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA

ABSTRACT

This study proposes a behavior-specific filtering method to improve behavior classification accuracy in Precision Livestock Farming (PLF). While traditional filtering methods, such as wavelet denoising, achieved an accuracy of 91.58%, they apply uniform processing to all behaviors. In contrast, the proposed behavior-specific filtering method combines Wavelet Denoising with a Low Pass Filter, tailored to active and inactive pig behaviors, and achieved a peak accuracy of 94.73%. These results highlight the effectiveness of behavior-specific filtering in enhancing animal behavior monitoring, supporting better health management and farm efficiency

How use of Artificial Intelligence Tools in Workplace Influence Employee Productivity and Business Performance

Shah Mehmood Wagan, Xinli Zhang and Sidra Sidra, Business School, Sichuan University, Chengdu, China

ABSTRACT

The study focuses on the innovations by artificial intelligence in the workplace that are affecting the productivity of the staff and the overall performance of businesses. It attempts to uncover the mechanism behind technologys technological impact on business operations and labor productivity. A quantitative research technique was used in this study with SmartPLS. It is found in a study that out of 350 small and medium-sized company samples, the first two had the highest adoption rates. The study specifies that perceived value, as well as the ease of use, has a major effect on the adoption of AI solutions. Technology development is one such method, through which increasing the level of work of people in the business raises the companys productivity. The positive experience increases business performance, therefore accuracy of business management to understand the employees of the business and customer satisfaction are positively related these points have been illustrated in this paper. Besides fact that study is mainly based on self-reporting data it may be biased at that point. As next study could thoroughly investigate long-term impacts of technology adoption on productivity in various disciplines of economy. A company can foster productivity of its workforce and boost performance by making available to them friendly AI tools as well as by providing them with training. This investigation contributes to understanding how AI technology can increase organizational performance in a significant way according to theoretical frameworks such as TAM model and Resource-Based View (RBV).

Keywords

Artificial Intelligence; Employee productivity; Business Performance; Perceived Usefulness; Customer Satisfaction