Diagnose crop disease using Krill Herd optimization and convolutional neural scheme-Reference-Cited by-同舟云学术

Diagnose crop disease using Krill Herd optimization and convolutional neural scheme

Published:2023-09-16 Issue:8 Volume:15 Page:4167-4178
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Parthiban K.,Rao Y. Venkata,Harika B.,Kumar Ravi,Shaik Amjan,Shankar S. Siva

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s41870-023-01417-1.pdf

Reference34 articles.

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3. Li P et al (2022) Long-term rice-crayfish-turtle co-culture maintains high crop yields by improving soil health and increasing soil microbial community stability. Geoderma 413:115745

4. Kabir MM, Ohi AQ, Mridha MF (2021) A multi-plant disease diagnosis method using convolutional neural network. Computer vision and machine learning in agriculture. Springer, Singapore, pp 99–111

5. Hou J et al (2022) Plant resistance to disease: using biochar to inhibit harmful microbes and absorb nutrients. Environ Res 214:113883

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