Automatic Tea Powder Weighing: A Review and Comparative Analysis of Techniques

Abstract

The automation of tea powder weighing processes has gained significant attention in the food and beverage industry due to its potential to enhance productivity, improve accuracy, and ensure consistency in tea preparation. This paper presents a comprehensive review and comparative analysis of various techniques employed in the field of automatic tea powder weighing.

The review encompasses both traditional and emerging technologies utilized in automatic weighing systems for tea powders, including load cell-based systems, image processing techniques, and machine learning algorithms. The benefits and limitations of each technique are evaluated, considering factors such as accuracy, speed, versatility, cost, and ease of implementation.

Furthermore, the paper discusses the crucial aspects of tea powder characteristics, such as texture, granularity, and density, which influence the selection and performance of automatic weighing systems. Additionally, the impact of environmental factors, such as humidity and temperature, on the weighing process is examined to highlight the importance of robustness in automated tea powder weighing systems.

The comparative analysis presents a comprehensive evaluation of the performance and suitability of different automatic weighing techniques, providing insights into their applicability in various tea production scenarios, ranging from small-scale artisanal tea processing to large-scale industrial operations.

The findings of this study serve as a valuable resource for tea manufacturers, researchers, and engineers involved in the design and implementation of automatic tea powder weighing systems. The review highlights the current state-of-the-art techniques, identifies research gaps, and suggests potential avenues for future advancements in this field.