Beekeeping is an ancient method, still being followed for the production and collection of honey as well as pollination. Maximizing the yield has been the goal of beekeepers for years, the current research work also aspires to do the same. This paper explores the integration of continuous weight monitoring through smart honey collection boxes in beekeeping practices. Leveraging load sensors, the study investigates the impact of continuous weight monitoring on honey production rates, hive population dynamics and foraging activity patterns. A positive correlation between continuous weight monitoring and enhanced honey yield has already been proved by previous research works and the findings pointed to the potential for predictive analysis through machine learning applications. The integration of multiple sensors further enriches hive data, providing a nuanced understanding of environmental influences. While the literature highlights advancements, the present paper also identifies research gaps, emphasizing the need for standardized methodologies and long-term impact assessments. Overall, this research work contributes to the evolving landscape of smart beekeeping technologies, encouraging ongoing exploration and innovation for sustainable hive management practices.