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Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption

dc.contributor.authorBarbosa Júnior, Marcelo Rodrigues [UNESP]
dc.contributor.authorMoreira, Bruno Rafael de Almeida [UNESP]
dc.contributor.authorCarreira, Vinicius dos Santos [UNESP]
dc.contributor.authorBrito Filho, Armando Lopes de [UNESP]
dc.contributor.authorTrentin, Carolina
dc.contributor.authorSouza, Flávia Luize Pereira de
dc.contributor.authorTedesco, Danilo
dc.contributor.authorSetiyono, Tri
dc.contributor.authorFlores, Joao Paulo
dc.contributor.authorAmpatzidis, Yiannis
dc.contributor.authorSilva, Rouverson Pereira da [UNESP]
dc.contributor.authorShiratsuchi, Luciano Shozo
dc.contributor.institutionLouisiana State University
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionThe University of Queensland
dc.contributor.institutionUniversity of Florida
dc.contributor.institutionUniversity of Connecticut
dc.contributor.institutionKansas State University
dc.contributor.institutionNorth Dakota State University
dc.date.accessioned2025-04-29T20:13:32Z
dc.date.issued2024-06-01
dc.description.abstractPrecision agriculture has emerged as a dominant force in the United States, with widespread adoption of advanced technologies and decision support systems (DSS) since the 1980s. Key tools such as variable rate application (VRA), autopilot systems, and remote sensing have become integral for U.S. farmers, offering invaluable insights from crop, soil, and weather information to optimize agricultural production while minimizing environmental impact. To synthesize and categorize the extensive research available on precision agriculture, a systematic review protocol has been designed. Our objective is to offer clear and authoritative insights into the nature, scope, and volume of this field. Implementing a rigorous search strategy, we utilized renowned databases such as Scopus® and Web of ScienceTM to gather relevant and significant materiality. The retrieval process involved the use of indexing terms and Boolean operators, with a focus on ’precision agriculture’ and ’precision farming’, striking a balance between specificity and comprehensiveness. To ensure the credibility of our findings, only peer-reviewed papers authored by individuals affiliated with U.S. institutions have been included. Expert reviewers with deep knowledge in the field independently assessed the selected papers, thoroughly evaluating titles, abstracts, keywords, methods, conclusions, and declarations. Consistency and eligibility were paramount in determining which papers met the criteria for inclusion. Any discrepancies or disagreements were resolved through rigorous consensus-building discussions among the reviewers. Through this comprehensive meta-review, we provide a scientific contribution that enhances our understanding of precision agriculture, highlighting focus areas for further research and development (R&D). By synthesizing and categorizing the existing literature, we offer authoritative insights into the research landscape, informing future investigations and fostering innovation. Focusing specifically on the U.S., we shed light on the unique aspects and pioneering advancements in precision agriculture within the country. Ultimately, our findings have the potential to drive progress, contributing to sustainable development, increased productivity, enhanced environmental sustainability, and responsible agricultural practices.en
dc.description.affiliationAgCenter School of Plant Environmental and Soil Sciences Louisiana State University
dc.description.affiliationDepartment of Engineering and Mathematical Sciences São Paulo State University (Unesp), SP
dc.description.affiliationQueensland Alliance for Agriculture and Food Innovation (QAAFI) The University of Queensland
dc.description.affiliationAgricultural and Biological Engineering Department Southwest Florida Research and Education Center University of Florida
dc.description.affiliationDepartment of Plant Science and Landscape Architecture University of Connecticut
dc.description.affiliationDepartment of Agronomy Kansas State University
dc.description.affiliationDepartment of Agricultural and Biosystems Engineering North Dakota State University
dc.description.affiliationUnespDepartment of Engineering and Mathematical Sciences São Paulo State University (Unesp), SP
dc.description.sponsorshipDivision of Mathematical Sciences
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipFURTHERMORE grants in publishing
dc.identifierhttp://dx.doi.org/10.1016/j.compag.2024.108993
dc.identifier.citationComputers and Electronics in Agriculture, v. 221.
dc.identifier.doi10.1016/j.compag.2024.108993
dc.identifier.issn0168-1699
dc.identifier.scopus2-s2.0-85192486824
dc.identifier.urihttps://hdl.handle.net/11449/308745
dc.language.isoeng
dc.relation.ispartofComputers and Electronics in Agriculture
dc.sourceScopus
dc.subjectCrop management
dc.subjectCrop monitoring
dc.subjectRemote sensing
dc.subjectScoping review
dc.subjectSoil mapping
dc.subjectSustainable agriculture
dc.titlePrecision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoptionen
dc.typeArtigopt
dspace.entity.typePublication

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