**5. Conclusions**

The meshless Galerkin method (MGM) is an effective solution for problems related to supernormal and irregular particles. Without gridding the supernormal particles in the computational domain, the dynamic movement process of supernormal particles such as transportation, collision, throwing, and tumbling can be described only by constructing approximate weight functions and solving partial differential equations with the field function (particle force, particle movement velocity, and displacement value). In this paper, the meshless Galerkin method (MGM) and the method of combining numerical simulation and experimental verification are employed to study the influence of jujube branch size (particle size), the total number of feeds (number of particles), and the gear rotation speed and shape (particle force) on the picking rate of jujube branches.


**Author Contributions:** Formal analysis, J.H.; Funding acquisition, W.W.; Investigation, X.Y.; Project administration, W.W.; Software, D.R.; Supervision, W.W.; Validation, Y.G.; Writing—original draft, R.Z. and G.W.; Writing—review and editing, W.W. and M.Y. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research was funded by National Nature Science Foundation of China, grant number 32171900.

**Institutional Review Board Statement:** Not applicable.

**Data Availability Statement:** Not applicable.

**Acknowledgments:** The authors would like to thank the research team members for their contributions to this work.

**Conflicts of Interest:** The authors declare no conflict of interest.
