AI-Driven Crop Infection Detection and Smart Herbicide Recommendation System

Authors

  • Dr. Sravan Kumar, G. Shruthi, K. sushma, K. Ramakrishna, G. Naveen

Keywords:

Crop Disease Classification, Multi-Crop Diagnosis, Smart Farming, AgriTech, Leaf Image Analysis

Abstract

Emotion detection is a crucial aspect of enhancing human-computer interaction, enabling systems to understand and respond to human emotions effectively. This study presents a deep learning-based multimodal emotion detection model that integrates speech recognition and facial expression analysis to achieve improved emotion classification accuracy.

References

Srikanth, G. K., Pakala Akhitha, Samala Sreeja, Koppula Vijayalakshmi, and Nunavath Saikiran. "Plant Disease Identification And Pesticides Recommendation Using Cnn."

Mahenge, Michael Pendo John, Hussein Mkwazu, Camilius A. Sanga, Richard Raphael Madege, Beatrice Mwaipopo, and Caroline Maro. "Artificial intelligence and deep learning based technologies for emerging disease recognition and pest prediction in beans (phaseolus vulgaris l.):

A systematic review." African Journal of Agricultural Research 19, no. 3 (2023): 260-271.

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Published

2024-04-23

How to Cite

Dr. Sravan Kumar, G. Shruthi, K. sushma, K. Ramakrishna, G. Naveen. (2024). AI-Driven Crop Infection Detection and Smart Herbicide Recommendation System . Journal of Computational Analysis and Applications (JoCAAA), 34(4), 637–652. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2345

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Section

Articles

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