Deep learning for precision agriculture: a systematic review of methods, challenges, and future directions
Crossref DOI link: https://doi.org/10.1007/s10115-025-02625-w
Published Online: 2026-01-05
Published Print: 2026-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Chettri, Kishor
Sen, Biswaraj
Ghosal, Palash
Text and Data Mining valid from 2026-01-05
Version of Record valid from 2026-01-05
Article History
Received: 25 September 2024
Revised: 15 September 2025
Accepted: 9 November 2025
First Online: 5 January 2026
Declarations
:
: The authors declare no conflict of interest.