Design of a Smart Management Framework for Rice Disease Control Using  AI Techniques

Ms. Anita  Choudhary ,Mr. Manoj Yadav

Design of a Smart Management Framework for Rice Disease Control Using AI Techniques

Authors

Ms. Anita Choudhary ,Mr. Manoj Yadav

Keywords:

Artificial Intelligence (AI), System, Security, Environment, Rice.

Abstract

In this work it has been analyse that more than half of the world's population depends on rice as a
staple crop, but a variety of diseases pose a serious threat to its productivity. Conventional
approaches to disease detection

References

S. K. Swarnkar, L. Dewangan, O. Dewangan, T. M. Prajapati and F. Rabbi, "AI-enabled Crop Health Monitoring and Nutrient Management in Smart Agriculture," 2023 6th International Conference on Contemporary Computing and Informatics (IC3I), Gautam Buddha Nagar, India,

, pp. 2679-2683, doi: 10.1109/IC3I59117.2023.10398035.

Saito, A., & Matsumoto, Y. ( 2020 ). AI in agriculture: Applications, challenges, and future directions. Applied Intelligence, 50 ( 9 ), 3030–3049.

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Published

2024-01-23

How to Cite

Ms. Anita Choudhary ,Mr. Manoj Yadav. (2024). Design of a Smart Management Framework for Rice Disease Control Using AI Techniques. Journal of Computational Analysis and Applications (JoCAAA), 32(1), 746–753. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3038