Plant health diagnosis: AI-based classification on plant health issues for  agricultural optimization

L. Anantha Lakshmi, Guttikonda Rithwik Reddy, Gaddam Adhikeshava Reddy, Eeru Vivek, Yekkaluri Nagarjun Reddy, Boga Dheeraj Palhani

Plant health diagnosis: AI-based classification on plant health issues for agricultural optimization

Authors

L. Anantha Lakshmi, Guttikonda Rithwik Reddy, Gaddam Adhikeshava Reddy, Eeru Vivek, Yekkaluri Nagarjun Reddy, Boga Dheeraj Palhani

Keywords:

Plant Disease Classification, Machine Learning, IoT Data, Decision Tree, SMOTE, Precision Agriculture, Crop Disease Detection

Abstract

Plant disease classification plays a vital role in improving agricultural productivity and sustainability.Traditional disease identification methods, such as manual inspection and laboratory analysis, are oftentime-consuming, subjective, and costly, making them unsuitable for large-scale farming systems. These limitations frequently result in delayed disease

References

Tirkey D, Singh KK, Tripathi S. Performance analysis of AI-based solutions for crop disease identification detection, and classification. Smart Agric Technol. 2023. https://doi.org/10.1016/j.atech.2023.100238.

Downloads

Published

2025-05-25

How to Cite

L. Anantha Lakshmi, Guttikonda Rithwik Reddy, Gaddam Adhikeshava Reddy, Eeru Vivek, Yekkaluri Nagarjun Reddy, Boga Dheeraj Palhani. (2025). Plant health diagnosis: AI-based classification on plant health issues for agricultural optimization . Journal of Computational Analysis and Applications (JoCAAA), 34(5), 498–505. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4627