For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
1
views
42
references
 Top references
cited by
0
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      97
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Structural optimization method of rice precision direct seed-metering device based on multi-index orthogonal experimental

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Introduction

          To improve the mechanization level of rice planting, a new type of direct seeding device for rice was designed. The device's structural properties will be crucial in determining its seeding performance. Structure optimization in the current seed metering device design process focuses on a single or few indexes, resulting in improved individual performance but imbalanced overall performance. Therefore, a structure optimization method of the direct seeding device based on a multi-index orthogonal experiment was proposed in this study.

          Methods

          First, the DEM-MBD coupling method observed the factors and levels that affected the performance overall. Second, a test platform based on the electric drive control model was constructed, and a multi-index orthogonal test was devised. Finally, the structural parameters of the seed metering devices were optimized based on matrix analysis.

          Results

          From the results, the primary and secondary levels of significance of factors were just as follows: hole diameter > hole number > adjustment angle. The following are the optimal parameters found by optimization analysis: the diameter of the hole was 12 mm, the number of holes was 10, and the adjustment angle was 80°. Validation tests were carried out and analyzed based on the optimal structural parameter combination. The qualification rate of seeds per hole, empty hole rate, average seed number, coefficient of variation of seed number, average hole spacing, and the variance coefficient of hole spacing are 93.07%, 0%, 9.39,14.04%, 22.84 cm, and 9.14%, respectively.

          Discussion

          In comparison to traditional design and structural parameter optimization methods for rice precision seed metering device, this study not just to provides an optimization scheme for improving the overall performance of rice precision seed metering device, but also serves as a technical reference for the development and design of new rice precision seed metering device.

          Related collections

          Most cited references42

          • Record: found
          • Abstract: not found
          • Article: not found

          Rice direct seeding: Experiences, challenges and opportunities

          M. U. Farooq, Kadambot Siddique, Ibrahim H. Rehman … (2011)
          Article 0 comments Cited 106 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Optimisation of Design and Operational Parameters of a Pneumatic Seed Metering Device for Planting Cottonseeds

            R.C. Singh, G. Singh, D.C. Saraswat (2005)
            Article 0 comments Cited 11 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Laboratory measurement of seed drill seed spacing and velocity of fall of seeds using high-speed camera system

              J. Müller, D. Karayel, M. Wiesehoff … (2006)
              Article 0 comments Cited 11 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Journal
                Journal ID (nlm-ta): Front Plant Sci
                Journal ID (iso-abbrev): Front Plant Sci
                Journal ID (publisher-id): Front. Plant Sci.
                Title: Frontiers in Plant Science
                Publisher: Frontiers Media S.A.
                ISSN (Electronic): 1664-462X
                Publication date (Electronic): 06 July 2023
                Publication date Collection: 2023
                Volume: 14
                Electronic Location Identifier: 1183624
                Affiliations
                [1] 1 Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences , Beijing, China
                [2] 2 School of Electrical and Information, Northeast Agricultural University , Harbin, China
                [3] 3 State Key Laboratory of Intelligent Agricultural Power Equipment , Beijing, China
                Author notes

                Edited by: Junfeng Gao, University of Lincoln, United Kingdom

                Reviewed by: Lu Liu, Anhui Agricultural University, China; Han Tang, Northeast Agricultural University, China

                *Correspondence: Zhijun Meng, mengzj@ 123456nercita.org.cn ; Bingxin Yan, ybx0122@ 123456126.com
                Article
                DOI: 10.3389/fpls.2023.1183624
                PMC ID: 10359481
                SO-VID: 6b018821-2525-4f7e-9787-8bc9305a89ba
                Copyright © Copyright © 2023 Li, Ling, Wen, Liu, Wu, An, Meng and Yan
                License:

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                Date received : 10 March 2023
                Date accepted : 06 June 2023
                Page count
                Figures: 11, Tables: 5, Equations: 14, References: 42, Pages: 18, Words: 9116
                Funding
                This research was funded by the National Key Research and Development Program of China (2021ZD0110902), Youth Research Fund project of Beijing Academy of Agriculture and Forestry Sciences (QNJJ202222), and the Key Research and Development Program of Shandong Province (2022CXGC010608).
                Categories
                Subject: Plant Science
                Subject: Original Research
                Custom metadata
                section-in-acceptance Sustainable and Intelligent Phytoprotection

                ScienceOpen disciplines: Plant science & Botany
                Keywords: rice,precision seed metering device,structural parameters,comprehensive optimization,matrix analysis
                Data availability:
                ScienceOpen disciplines: Plant science & Botany
                Keywords: rice, precision seed metering device, structural parameters, comprehensive optimization, matrix analysis

                Comments

                Comment on this article