Optimizing Agricultural Performance: Integrating Online Dynamic Mapping Methods for Heterogeneous Multi-Core Processor Systems in Crop Management

Abstract

Modern agricultural systems face the challenge of efficiently utilizing available resources while maximizing crop yield and quality. This paper addresses the critical need for optimizing agricultural performance through the integration of online dynamic mapping methods tailored for heterogeneous multi-core processor systems in the context of crop management. As precision agriculture becomes increasingly reliant on real-time data analysis and decision-making, the role of computational systems in enhancing farming practices cannot be overstated. In order to encourage entrepreneurs towards innovation and advancement, it is important to ensure that their intellectual property will be protected. Therefore, intellectual property rights are important for the progression of high-tech companies such as the firms working within the biotechnology industry. In this paper, the researcher has explored the impact of intellectual property rights on entrepreneurial orientation and entrepreneurial skills in biotechnology firms in Malaysia. For this purpose, data has been collected from 270 respondents working within the biotechnology industry of Malaysia. The regression analysis has been applied to the collected data to reveal that intellectual property laws can positively affect and increase the levels of entrepreneurial skills and orientation within biotechnology firms. Therefore, future research and policymakers must focus on the advancement of policies that can support the increased protection of intellectual property and the development of laws and policies that can help in ensuring increased entrepreneurial orientation and innovation within the high-tech industrial sectors of developing countries.