Yield prediction, pest and disease diagnosis, soil fertility mapping, precision irrigation scheduling, and food quality assessment using machine learning and deep learning algorithms
Crossref DOI link: https://doi.org/10.1007/s44187-025-00338-1
Published Online: 2025-03-20
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ajith, S.
Vijayakumar, S.
Elakkiya, N.
Text and Data Mining valid from 2025-03-20
Version of Record valid from 2025-03-20
Article History
Received: 15 November 2024
Accepted: 5 March 2025
First Online: 20 March 2025
Declarations
:
: The authors declare no competing interests.