A comparison of CNN and SVM algorithms for the prediction of growth defects in coffee plants for stable yield and fungal diseases
Crossref DOI link: https://doi.org/10.1007/s10751-024-02135-1
Published Online: 2024-10-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Shrma, V. Sai Teja
Rahiman, M. Kalil
Text and Data Mining valid from 2024-10-11
Version of Record valid from 2024-10-11
Article History
Accepted: 24 September 2024
First Online: 11 October 2024
Declarations
:
: The authors declare no competing interests.