To investigate the operational mechanism and quality improvement strategies of a reed upright conveying device, first, the structural design was completed, and a force analysis of the conveying process was conducted. A rigid-flexible coupling simulation model of reed stalks and the conveying mechanism was then employed to examine the effects of the structural parameters of the conveying chain links on the maximum contact force exerted on the reed stalks and to identify the optimal parameter combination. High-speed photography experiments were carried out during the conveying process to capture the motion states and trajectories of the reed stalks, elucidating the causes of stalk breakage and blockages. Subsequently, response surface experiments were conducted to investigate the primary factors influencing upright conveying quality. Mathematical models for predicting damage rate and conveying rate were established, and the effects of various factors on these indicators were analyzed. Multi-objective optimization of the regression models was performed based on practical production requirements, yielding an optimal parameter combination: transverse conveying speed of the chain at 1.1 m/s, speed ratio of 1.2, and upper conveying chain position at 1.37 m. Experimental results indicated a damage rate of 11.90% and a conveying rate of 95.11%, meeting the operational requirements for mechanized reed harvesting and conveying. These findings provide fundamental theoretical data for the development of reed harvester conveying components and the selection of operational parameters.

Field environmental sensing can acquire real-time environmental information, which will be applied to field operation, through the fusion of multiple sensors. Multi-sensor fusion refers to the fusion of information obtained from multiple sensors using more advanced data processing methods. The main objective of applying this technology in field environment perception is to acquire real-time environmental information, making agricultural mechanical devices operate better in complex farmland environment with stronger sensing ability and operational accuracy. In this paper, the characteristics of sensors are studied to clarify the advantages and existing problems of each type of sensors and point out that multiple sensors can be introduced to compensate for the information loss. Secondly, the mainstream information fusion types at present are outlined. The characteristics, advantages and disadvantages of different fusion methods are analyzed. The important studies and applications related to multi-sensor information fusion technology published at home and abroad are listed. Eventually, the existing problems in the field environment sensing at present are summarized and the prospect for future of sensors precise sensing, multi-dimensional fusion strategies, discrepancies in sensor fusion and agricultural information processing are proposed in hope of providing reference for the deeper development of smart agriculture.