TECHNOLOGICAL ADVANCES AND DIGITAL INNOVATIONS APPLIED TO TOMATO CULTIVATION:

A SYSTEMATIC LITERATURE REVIEW

Visualizações: 40

Authors

  • Josevaldo Moreira State University of Mato Grosso https://orcid.org/0009-0007-4896-6612
  • Maria Gláucia Dourado Furquim Federal Institute of Education, Science and Technology of Goiás (IF Goiano)
  • Adriana de Oliveira Dias State University of Mato Grosso
  • Daniela Cabral de Oliveira University of Rio Verde (UniRV)
  • José Carlos de Sousa Júnior Federal Institute of Education, Science and Technology Goiano (IF Goiano)
  • Vitória Christina Maass University of Rio Verde (UniRV)
  • Danihanne Borges e Silva Federal Institute of Education, Science and Technology Goiano (IF Goiano)

DOI:

https://doi.org/10.56579/rei.v8i4.3488

Keywords:

Digital agriculture, State of the art, Smart manufacturing

Abstract

This study conducted a systematic literature review on technological advances and digital innovations applied to tomato cultivation (Solanum lycopersicum L.), focusing on emerging technologies associated with Agriculture 4.0. Eighteen articles published between 2016 and 2024 in indexed databases were analyzed, highlighting the use of techniques such as deep learning, hyperspectral spectroscopy, remote sensing, bioelectrochemistry, and three-dimensional modeling. The results reveal significant progress in process automation, physiological monitoring, and early detection of diseases and physiological disorders, enabling greater productivity and sustainability. However, there is a noticeable lack of studies addressing management, economic feasibility, and technology adoption across different production scales. It is concluded that the integration of science, technology, and management is essential to consolidate digital agriculture as a driver of innovation and sustainability, reinforcing the need for interdisciplinary research that links technical advances to the economic and social efficiency of agricultural value chains.

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Author Biographies

Josevaldo Moreira, State University of Mato Grosso

He is currently an undergraduate student in the Computer Science program at the State University of Mato Grosso and a member of the Research Group on Image Processing, Computer Vision, Data Analysis, Data Science, Machine Learning, Deep Learning, and Interactive Applications. His research interests are in the field of Computer Science, with an emphasis on Artificial Intelligence, Computer Vision, and Remote Access.

Maria Gláucia Dourado Furquim, Federal Institute of Education, Science and Technology of Goiás (IF Goiano)

Professor at the Federal Institute of Education, Science and Technology Goiano – Iporá Campus. Iporá, Goiás, Brazil.

Adriana de Oliveira Dias, State University of Mato Grosso

She holds a bachelor's degree in Mathematics from São Paulo State University (UNESP) (2003), a master's degree in Applied and Computational Mathematics from São Paulo State University (UNESP) (2006), and a Ph.D. in Mathematics Education from the Pontifical Catholic University of São Paulo (PUC-SP) (2024). She is currently a professor of higher education at the State University of Mato Grosso. She has experience in the field of Mathematics, with an emphasis on Mathematics Education, working primarily on the following topics: mathematics education, dynamical systems, educational technologies, the documentational approach to didactics, and GeoGebra.

Daniela Cabral de Oliveira, University of Rio Verde (UniRV)

She holds a bachelor's degree in Information Systems from the State University of Goiás (2006), an MBA in Strategic Business Management from the State University of Goiás (2012), a master's degree in Mechanical Engineering from São Paulo State University (UNESP) (2017), and a Ph.D. in Mechanical Engineering from São Paulo State University (UNESP) (2019). She completed a postdoctoral fellowship in Mechanical Engineering at São Paulo State University (UNESP), Ilha Solteira Campus (2020), and a postdoctoral fellowship in Food Technology at the Federal Institute Goiano, Rio Verde Campus.

She has experience in the field of Computer Science, with an emphasis on Artificial Intelligence, working primarily on the following topics: artificial intelligence, machine learning, and artificial immune algorithms (Negative Selection Algorithms and Clonal Selection Algorithms). She is a researcher in the Sisplexos – Complex Systems Research Group, within the Computational Intelligence research line at São Paulo State University (UNESP), and in the GIPEEX – Interdisciplinary Research, Teaching, and Extension Group at the Federal Institute Goiano (IF Goiano).

José Carlos de Sousa Júnior, Federal Institute of Education, Science and Technology Goiano (IF Goiano)

He holds a bachelor's degree in Business Administration with a specialization in Agribusiness from the State University of Goiás (UEG) (2006). He earned a Technical Degree in Accounting from the Federal Institute Goiano (IF Goiano) (2008), a specialization in Marketing and Strategic Management from Candido Mendes University (UCAM) (2014), a master's degree in Sustainable Rural Development from the State University of Goiás (UEG) (2021), and a Ph.D. in Agribusiness from the Federal University of Goiás (UFG) (2026).

He is currently a Full-Time Professor under an Exclusive Dedication regime at the Federal Institute of Education, Science and Technology Goiano (IF Goiano), Iporá Campus, where he teaches in the Agronomy, Agribusiness Management Technology, Technical Program in Systems Development (integrated with secondary education), Technical Program in Secretarial Studies, and Technical Program in Institutional Administration (distance learning) programs.

From 2015 to 2019, he served as Extension Manager at IF Goiano – Iporá Campus. He is a member of the Technology Transfer Unit (UTT) of the Center of Excellence in Bioinputs (CEBIO) at IF Goiano – Iporá Campus and a member of the GIPEEX – Interdisciplinary Research, Teaching, and Extension Group.

Vitória Christina Maass, University of Rio Verde (UniRV)

She is an undergraduate student in Software Engineering at the University of Rio Verde – Rio Verde Campus (UniRV). She worked as an Administrative Apprentice in the Human Resources and Engineering departments at Cargill Agrícola S.A. in Rio Verde. She participates as a volunteer member in interinstitutional research and extension projects and is a member of the GIPEEX – Interdisciplinary Research, Teaching, and Extension Group.

Danihanne Borges e Silva, Federal Institute of Education, Science and Technology Goiano (IF Goiano)

She holds a bachelor's degree in Nursing from FMB – Faculdade Montes Belos. She earned a postgraduate degree (Master Program) in Marketing, Strategy, and Digital Innovation from UniAraguaia, Goiânia Campus, Goiás. She is currently pursuing a bachelor's degree in Agronomy at the Federal Institute of Education, Science and Technology Goiano (IF Goiano), Iporá Campus, Goiás.

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Published

2026-07-27

How to Cite

Moreira, J., Furquim, M. G. D., Dias, A. de O., Oliveira, D. C. de, Sousa Júnior, J. C. de, Maass, V. C., & Silva, D. B. e. (2026). TECHNOLOGICAL ADVANCES AND DIGITAL INNOVATIONS APPLIED TO TOMATO CULTIVATION: : A SYSTEMATIC LITERATURE REVIEW. Interdisciplinary Studies Journal, 8(4), 01–19. https://doi.org/10.56579/rei.v8i4.3488

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Vol. 8 No. 4 (2026): JOURNAL OF INTERDISCIPLINARY STUDIES

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ARTICLES

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