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Analysis of institutional authors

Rovira-Más, FAuthorSaiz-Rubio, VAuthor

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October 30, 2024
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Mathematical model-based redesign of chickpea harvester reel

Publicated to:Spanish Journal Of Agricultural Research. 19 (1): e0203- - 2021-01-01 19(1), DOI: 10.5424/sjar/2021191-16391

Authors: Golpira, Hiwa; Rovira-Mas, Francisco; Golpira, Hemin; Saiz-Rubio, Veronica

Affiliations

Univ Kurdistan, Dept Biosyst Engn - Author
Univ Politecn Valencia - Author

Abstract

Aim of study: This paper presents a mathematical modeling approach to redesign the reels of chickpea harvesters for harvest efficiency. Area of study: A prototype chickpea harvester was designed and evaluated on the Dooshan farm of the University of Kurdistan, Sanandaj, Iran. Material and methods: The strategy used for reducing harvesting losses derived from the dynamic study of the reel applied to the chickpea harvester. The machine was designed such that bats of a power take-off (PTO)-powered reel, in conjunction with passive fingers, harvest pods from anchored plants and throw the pods into a hopper. The trochoid trajectory of the reel bats concerning reel kinematic index, and plant height and spacing was determined for redesigning the reel. Main results: This kinematic design allowed an estimation of the reel orientation at the time of impact. The experimentally validated model offers an accurate and low computational cost method to redesign harvester reels. Research highlights: The new chickpea harvester implemented with a four fixed-bat reel, a height of 40 cm above the ground for the reel axis, and featuring a kinematic index of 2.4 was capable of harvesting pods with harvesting efficiency of over 70%; a significant improvement in harvesting performance.

Keywords

Chickpea harvestingCombine harvester modelingDesignHarvesting lossesMachine designPulses

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Spanish Journal Of Agricultural Research, and although the journal is classified in the quartile Q3 (Agencia WoS (JCR)), its regional focus and specialization in Agriculture, Multidisciplinary, give it significant recognition in a specific niche of scientific knowledge at an international level.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-08-18:

  • WoS: 4
  • Scopus: 4

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-08-18:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 11 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Additionally, the work has been submitted to a journal classified as Diamond in relation to this type of editorial policy.

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Iran.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: Last Author (Sáiz Rubio, Verónica).