Innovative Research Award
Francisco Javier Ferrández-Pastor
Universidad de Alicante, Spain
| Francisco Javier Ferrández-Pastor | |
|---|---|
| Francisco Javier Ferrández-Pastor | |
| Affiliation | Universidad de Alicante |
| Country | Spain |
| Scopus ID | 6506007595 |
| Documents | 42 |
| Citations | 1,178 |
| h-index | 13 |
| Subject Area | Precision Agriculture (Agricultura de precisión) |
| Event | World Superior Engineering Research Awards |
| ORCID | 0000-0002-3763-4790 |
The Innovative Research Award is a research recognition category intended to highlight original contributions, methodological advances, and practical innovation across engineering and related scientific disciplines. This article presents the academic profile of Francisco Javier Ferrández-Pastor, affiliated with Universidad de Alicante in Spain, with a subject focus on precision agriculture. The award context is associated with the World Superior Engineering Research Awards. Inclusion in this profile describes the researcher and the potential relevance of the research area; it does not, by itself, establish that an award has been conferred.
Contents
Abstract
Precision agriculture applies sensing, data processing, connected systems, and computational methods to improve the management of agricultural resources. Its research challenges include monitoring field conditions, integrating heterogeneous data, supporting decisions, and adapting interventions to spatial and temporal variation. These areas create opportunities for engineering innovation with potential implications for agricultural productivity and resource efficiency. This profile identifies Francisco Javier Ferrández-Pastor through the supplied Scopus and ORCID records and outlines how research associated with precision agriculture may be considered in the context of an innovative research award. Bibliographic metrics and individual publication details should be verified against the linked scholarly records before publication. [1][2]
Keywords
Innovative Research Award; Francisco Javier Ferrández-Pastor; Universidad de Alicante; precision agriculture; smart farming; agricultural informatics; Internet of Things; sensor networks; agricultural automation; decision-support systems; data-driven agriculture; engineering innovation; sustainable agriculture; digital agriculture; research impact.
Introduction
Innovation in engineering research involves developing or improving methods, systems, and tools to address defined technical or societal challenges. In agriculture, these efforts increasingly involve digital monitoring, connected devices, spatial information, and computational decision support. Precision agriculture uses variations in field conditions and crop requirements to inform agricultural management rather than assuming that every part of a field requires identical treatment. Research in this area draws on agricultural science, electronics, computer engineering, communications, and data science. [3]
The Innovative Research Award provides a framework for presenting research achievements that demonstrate originality, methodological quality, reproducibility, and potential value beyond a single application. The World Superior Engineering Research Awards is the event named in the supplied information. Award eligibility, judging procedures, and recipient status should be confirmed using the event organizer’s official information before making claims about a nomination or award outcome. [4]
Research Profile
Francisco Javier Ferrández-Pastor is associated in the supplied profile information with Universidad de Alicante, Spain. His researcher identifiers are provided through a Scopus author record and an ORCID profile. These persistent identifiers help readers locate scholarly records and distinguish author profiles across research information systems. [1][2]
The stated subject area for this article is precision agriculture, a multidisciplinary field concerned with applying information and engineering methods to agricultural operations. A comprehensive researcher biography should be based on verified institutional information, authored publications, documented research projects, and professional records. Specific degrees, appointments, laboratory memberships, and career milestones are not asserted here because they have not been independently established within the supplied information.
Researcher identifiers:
- Scopus Author ID: 6506007595.
- ORCID: 0000-0002-3763-4790.
- Google Scholar: Researcher citation profile.
Research Contributions
Precision agriculture offers several established engineering research directions. These directions provide a context for evaluating innovation, but they should not be interpreted as a verified list of the named researcher’s individual contributions unless supported by specific publications or project records. [3]
- Sensor-based field monitoring: Developing and evaluating systems that collect environmental, soil, crop, or equipment data for agricultural decision-making.
- Internet of Things integration: Connecting distributed sensors and agricultural devices to support data collection, communications, and monitoring.
- Data integration and interoperability: Combining measurements from different sources while addressing data quality, compatibility, and reliability.
- Decision-support methods: Translating measured conditions and computational results into information that can help guide agricultural management.
- Resource-efficient operations: Investigating how spatially informed decisions may improve the use of water, fertilizers, energy, and other agricultural inputs.
- System validation: Evaluating the accuracy, reliability, scalability, and practical performance of agricultural engineering solutions under documented conditions.
The strength of a research contribution should be established from its stated research question, technical novelty, comparison with prior work, validation method, and reproducibility. Practical relevance should be assessed using evidence from appropriate experimental settings rather than inferred solely from the subject area.
Publications
Scholarly publications are an important means of documenting research methods, findings, and contributions. The supplied Scopus and Google Scholar links provide starting points for locating indexed papers and citation information. A verified publication list should be compiled from individual records, checking author order, title, publication venue, year, and DOI against the publisher’s version of record. [1][5]
No individual publication titles, document totals, or DOI identifiers are listed in this article because those details have not been confirmed from the supplied data. This avoids attributing unrelated works to the researcher or publishing inaccurate bibliographic information.
For each verified publication, the recommended record includes:
- Full title and complete author list.
- Journal, conference, book, or other publication venue.
- Publication year, volume, issue, and page range or article number, where applicable.
- A working DOI link, when a DOI has been assigned.
- A concise description of the research question, method, findings, and relevance to precision agriculture.
Research Impact
Research impact can be examined through several complementary forms of evidence. Bibliometric indicators describe aspects of scholarly visibility, while documented adoption, validated field performance, data or software reuse, collaboration, and measurable operational outcomes can provide evidence of wider influence. No single indicator captures every dimension of research quality or societal value. [6]
For research related to precision agriculture, relevant impact measures may include the reliability of sensing systems, the performance of predictive or decision-support methods, improvements demonstrated in field trials, interoperability with agricultural equipment, and evidence of resource-use efficiency. Such outcomes should be reported with appropriate baselines, methods, limitations, and study conditions.
The current number of documents, citations, and h-index for Francisco Javier Ferrández-Pastor should be retrieved directly from the live Scopus record and checked on the date of publication. These values can change as databases index new publications and citations. They are intentionally not estimated in this article.
Award Suitability
The Innovative Research Award category is relevant to research that demonstrates a clearly defined original contribution, sound scientific or engineering methods, and a credible explanation of its significance. In the context of the World Superior Engineering Research Awards, any formal assessment must follow the organizer’s published criteria and eligibility requirements. The available information does not independently confirm that the researcher has been nominated for, shortlisted for, or received this award. [4]
A nomination or award submission focused on precision agriculture could present the following evidence, where applicable and verifiable:
- Originality: A clear explanation of the problem addressed and how the proposed approach differs from established methods.
- Technical quality: Appropriate experimental design, validated methods, transparent data processing, and reproducible results.
- Scholarly evidence: Relevant peer-reviewed publications, verified author records, and documented research outputs.
- Practical relevance: Evidence of applicability to agricultural operations, including limitations and implementation requirements.
- Research influence: Documented citations, collaborations, adoption, or other meaningful indicators interpreted in context.
- Research integrity: Appropriate attribution, ethical conduct, transparent reporting, and compliance with the organizer’s submission rules.
The final award submission should include a concise biography, an abstract, a statement of the original contribution, supporting publications, relevant DOI links, evidence of impact, and any additional documents required by the official call for nominations. Age limits, degree requirements, publication thresholds, fees, deadlines, and assessment procedures should be included only after verification from the organizer’s current guidelines.
Conclusion
The Innovative Research Award provides a framework for describing and evaluating original research in engineering and related disciplines. Francisco Javier Ferrández-Pastor is presented here with the supplied affiliation, subject area, and researcher identifiers. Precision agriculture offers an interdisciplinary setting in which engineering research may address sensing, connectivity, data integration, and agricultural decision-making. A complete assessment of individual achievements requires verified publications, validated research outcomes, current bibliometric data, and documented evidence of impact. Any statement concerning award nomination or receipt must be supported by an official announcement or other reliable record.
External Links
References
The following sources support researcher identification, general subject context, and publication verification. They are not evidence of a specific award outcome. Bibliographic details and any award-related claims should be checked against the relevant primary records before publication.
- Elsevier. (n.d.). Scopus author details: Francisco Javier Ferrández-Pastor, Author ID 6506007595. Scopus.https://www.scopus.com/authid/detail.uri?authorId=6506007595
- ORCID. (n.d.). ORCID researcher record: 0000-0002-3763-4790. ORCID.https://orcid.org/0000-0002-3763-4790
- Food and Agriculture Organization of the United Nations. (n.d.). Digital agriculture and precision agriculture resources. FAO. Consult the organization’s official resources for background on digital agriculture and agricultural innovation.https://www.fao.org/digital-agriculture/
- World Superior Engineering Research Awards. (n.d.). Official award website. The organizer’s website should be consulted for current categories, eligibility rules, nomination procedures, and official recipient announcements.https://superiorengineering.org/
- Google Scholar. (n.d.). Scholar profile and scholarly publication search. Google.https://scholar.google.com/citations?hl=en&user=zEIP7TEAAAAJ
Editorial note: This is a research-profile article prepared from the supplied identifiers and general scholarly sources. It is not an official biography or award announcement. Verify the researcher’s current publication record, institutional affiliation, award criteria, and award status before presenting this page as an independently verified account.