In recent years,the goji berry industry in China has experienced rapid development.However,due to the ineffective integration of agricultural machinery and agronomy,manual goji berry harvesting remains the most critical process in goji berry production.Efficient harvesting methods are crucial for the sustainable development of the goji berry industry.In this study,we utilized Jack human factors engineering software to analyze the commonly used man-ual harvesting methods in the goji berry industry and evaluate the fatigue characteristics associated with different har-vesting postures.Based on the characteristics of goji berry harvesting,our research focused on human factors engi-neering and employed a combined qualitative and quantitative analysis approach.Using Jack simulation software as a research tool,we analyzed the impact of different goji berry harvesting postures on various fatigue characteristics of the human body,assigned corresponding impact scores,and established a fatigue evaluation system for goji berry harvesting operations.This system enables the comprehensive assessment of labor posture fatigue considering different environments,postures,and states.It serves as a theoretical basis for the design of wearable goji berry harvesting de-vices,improves individual harvesting efficiency for goji berry farmers,and provides guidance for safe operations.
关键词
人因工程/林果采收/枸杞/疲劳分析
Key words
human factors engineering/fruit harvesting/Goji Berry/fatigue analysis
维普
万方数据