Research progress of flower thinning technology and equipment in orchard mechanization
In order to promote the development of mechanized thinning technology and equipment in orchards,improve the overall level of orchard mechanization,this article first discusses the necessity and operational standards of thinning flowers,with the aim of providing theoretical guidance for thinning work.According to domestic and foreign vibration-type,handheld,airborne,and intelligent thinning machines working methods and characteristics,this article summarizes the advantages and disadvantages and analyzes the key technologies of the above equipment.It focuses on discussing the current research status of machine vision as the core support technology for intelligent thinning machines in flower recognition applications.By comparing typical flower recognition algorithms such as YOLO and Faster R-CNN,this article summarizes their limiting factors and major issues in terms of average precision,recall rate,and F1 score.In response to the main problems faced by current mainstream flower-thinning machine,such as a single working mode,low precision level,high requirement for orchard standardization level,and narrow applicability range,this article proposes the following five prospects,such as the standardization of orchard planting methods,the development of new spindle structures and thinning rope materials,the construction of orchard production management experience expert database,key research directions of flower recognition technology,future research direction of intelligent flower thinning machine.
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