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Analysis of institutional authors

Rodriguez-Nieto, DanielAuthor

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June 3, 2025
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Automated Seeding in Hydroponic Greenhouse With a Dual-Arm Robotic System

Publicated to: Ieee Access. 13 30745-30761 - 2025-01-01 13(), DOI: 10.1109/ACCESS.2025.3541954

Authors:

Rodriguez-Nieto, Daniel; Navas, Eduardo; Fernandez, Roemi
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Affiliations

Ctr Automat & Robot CAR CSIC UPM, Ctr Automat & Robot, Madrid 28500, Spain - Author
Univ Politecn Madrid, Ctr Automat & Robot, Madrid 28006, Spain - Author

Abstract

Automation in agriculture, often referred to as Agriculture 4.0, has attracted significant interest in recent decades. The integration of technologies like artificial intelligence, robotic manipulation, and autonomous navigation, commonly used in industrial automation, also shows great potential in the agricultural sector. While these technologies are being extensively applied to automate tasks such as fruit harvesting, there is a notable lack of research focused on their application to other essential tasks, such as seeding. In this context, this article introduces an autonomous bi-manipulator robot designed to automate the seeding process in a hydroponic greenhouse. The dual-arm robotic system is capable of perceiving the environment to accurately identify the location of growing cubes within planters, securely position the cubes without causing collisions within the hydroponic system, collect seeds, and deposit them directly into the small holes of the growing cubes. Several perception and manipulation strategies are proposed and experimentally evaluated to enhance the overall process. The results demonstrate that automating this task with a dual-arm mobile robot is both feasible and efficient, achieving an average seeding time of 75 s per rock-wool cube with the most efficient strategy, including cube positioning and verification of proper seed placement.
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Keywords

ActuatorsAgricultural robotsAgricultural sectorAgricultureAgriculture 4.0Artificial intelligencArtificial intelligenceAutomationAutonomous navigationComputer visionDual armDual-arm manipulationEnd effectorsFertilizersGreen productsHydroponic greenhouseHydroponicsIndustrial automationIndustrial robotsMobile robotsRobot vision systemsRobotic armsRobotic manipulationRobotic systemsRoboticsRobotsSeedSeedingSmart agricultureSoft roboticsSoil

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Ieee Access due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category .

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 2025-12-19:

  • Scopus: 1
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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 2025-12-19:

  • 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: 30 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

    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.
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    Leadership analysis of institutional authors

    There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (RODRÍGUEZ NIETO, DANIEL) and Last Author (Fernandez, Roemi).

    the author responsible for correspondence tasks has been Fernandez, Roemi.

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    Awards linked to the item

    This work was supported in part by the MCIN/AEI/10.13039/501100011033 under Grant PID2020-116270RB-I00; in part by the MCIN/AEI/10.13039/501100011033 and the European Union NextGenerationEU/PRTR under Grant TED2021-132710B-I00; in part by the iRoboCity2030-CM, Robotica Inteligente Para Ciudades Sostenibles, Programas de Actividades I+D en Tecnologias en la Comunidad de Madrid under Grant TEC-2024/TEC-62; and in part by the Consejo Superior de Investigaciones Cientificas (CSIC) Proyecto Intramural ''Inteligencia Artificial y Mecatronica Cognitiva para la Manipulacion Robotica Bimanual-2. Fase (IAMC-ROBI-II) under Grant 202350E072.
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