A Bibliometric Review of Machine Learning for Sustainable Agri-Food Systems: Evolution, Collaboration Networks, and Future Directions

Segundo Jonathan Rojas-Flores; Rafael Liza; Renny Nazario-Naveda; Félix Díaz; Daniel Delfin-Narciso; Moisés Gallozzo Cardenas

doi:10.3390/agriculture16040462

A Bibliometric Review of Machine Learning for Sustainable Agri-Food Systems: Evolution, Collaboration Networks, and Future Directions

Segundo Jonathan Rojas-Flores
, Rafael Liza
, Renny Nazario-Naveda
, Félix Díaz
, Daniel Delfin-Narciso
, Moisés Gallozzo Cardenas

Research output: Contribution to journal › Review article › peer-review

Original language	English
Article number	462
Journal	Agriculture (Switzerland)
Volume	16
Issue number	4
DOIs	https://doi.org/10.3390/agriculture16040462
State	Published - 1 Feb 2026
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 12 Responsible Consumption and Production
SDG 13 Climate Action

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10.3390/agriculture16040462

Cite this

@article{b043b642fe66422b80e38ec23c279ad9,

title = "A Bibliometric Review of Machine Learning for Sustainable Agri-Food Systems: Evolution, Collaboration Networks, and Future Directions",

keywords = "data-driven sustainability, food systems optimization, intelligent systems, machine learning, precision agriculture, sustainable agriculture",

author = "Rojas-Flores, \{Segundo Jonathan\} and Rafael Liza and Renny Nazario-Naveda and F{\'e}lix D{\'i}az and Daniel Delfin-Narciso and Cardenas, \{Mois{\'e}s Gallozzo\}",

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day = "1",

doi = "10.3390/agriculture16040462",

language = "English",

volume = "16",

journal = "Agriculture (Switzerland)",

issn = "2077-0472",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

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}

TY - JOUR

T1 - A Bibliometric Review of Machine Learning for Sustainable Agri-Food Systems

T2 - Evolution, Collaboration Networks, and Future Directions

AU - Rojas-Flores, Segundo Jonathan

AU - Liza, Rafael

AU - Nazario-Naveda, Renny

AU - Díaz, Félix

AU - Delfin-Narciso, Daniel

AU - Cardenas, Moisés Gallozzo

PY - 2026/2/1

Y1 - 2026/2/1

KW - data-driven sustainability

KW - food systems optimization

KW - intelligent systems

KW - machine learning

KW - precision agriculture

KW - sustainable agriculture

UR - https://www.scopus.com/pages/publications/105031307043

U2 - 10.3390/agriculture16040462

DO - 10.3390/agriculture16040462

M3 - Review article

AN - SCOPUS:105031307043

SN - 2077-0472

VL - 16

JO - Agriculture (Switzerland)

JF - Agriculture (Switzerland)

IS - 4

M1 - 462

ER -

A Bibliometric Review of Machine Learning for Sustainable Agri-Food Systems: Evolution, Collaboration Networks, and Future Directions

UN SDGs

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