Application of machine learning and artificial intelligence on agriculture supply chain: a comprehensive review and future research directions

Sneha Kumari, V. G. Venkatesh, Felix Ter Chian Tan, S. Vijayakumar Bharathi, M. Ramasubramanian, Yangyan Shi

Open source

DOI: 10.1007/s10479-023-05556-3
Published: 2023-09-05
Container: Annals of Operations Research
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10479-023-05556-3,
  title = {Application of machine learning and artificial intelligence on agriculture supply chain: a comprehensive review and future research directions},
  author = {Sneha Kumari and V. G. Venkatesh and Felix Ter Chian Tan and S. Vijayakumar Bharathi and M. Ramasubramanian and Yangyan Shi},
  year = {2023},
  journal = {Annals of Operations Research},
  doi = {10.1007/s10479-023-05556-3},
  url = {https://doi.org/10.1007/s10479-023-05556-3}
}

RIS

TY  - JOUR
TI  - Application of machine learning and artificial intelligence on agriculture supply chain: a comprehensive review and future research directions
AU  - Sneha Kumari
AU  - V. G. Venkatesh
AU  - Felix Ter Chian Tan
AU  - S. Vijayakumar Bharathi
AU  - M. Ramasubramanian
AU  - Yangyan Shi
PY  - 2023
JO  - Annals of Operations Research
DO  - 10.1007/s10479-023-05556-3
UR  - https://doi.org/10.1007/s10479-023-05556-3
ER  -

APA

Kumari, S., Venkatesh, V. G., Tan, F. T. C., Bharathi, S. V., Ramasubramanian, M., & Shi, Y. (2023). Application of machine learning and artificial intelligence on agriculture supply chain: a comprehensive review and future research directions. Annals of Operations Research. https://doi.org/10.1007/s10479-023-05556-3

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crossref · retrieved 2026-09-26T02:42:45.177Z