Design and Development of Automated IoT-Aided Smart Agriculture Management System for Efficient Crop Growth Using Hybrid Convolution (1D–2D)-Based Adaptive Residual Attention
Crossref DOI link: https://doi.org/10.1007/s11220-024-00512-2
Published Online: 2024-10-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Sangeetha, Bathini
Pabboju, Suresh
Text and Data Mining valid from 2024-10-10
Version of Record valid from 2024-10-10
Article History
Received: 27 May 2024
Revised: 3 August 2024
Accepted: 5 September 2024
First Online: 10 October 2024
Declarations
:
: The authors declare no competing interests.
: Not applicable.