Plant Leaf Disease Detection Utilizing Machine Learning Techniques

Kounain Sanaliya Khan; Khadeeja Khadeer; M. Bharathi; T. Aditya Sai Srinivas

doi:10.48001/joitml.2025.2111-16

Authors

Kounain Sanaliya Khan Department of Artificial Intelligence and Machine Learning, Jayaprakash Narayan College of Engineering, Dharmapur, Telangana, India
Khadeeja Khadeer Department of Artificial Intelligence and Machine Learning, Jayaprakash Narayan College of Engineering, Dharmapur, Telangana, India
M. Bharathi Department of Artificial Intelligence and Machine Learning, Jayaprakash Narayan College of Engineering, Dharmapur, Telangana, India
T. Aditya Sai Srinivas Department of Artificial Intelligence and Machine Learning, Jayaprakash Narayan College of Engineering, Dharmapur, Telangana, India

DOI:

https://doi.org/10.48001/joitml.2025.2111-16

Keywords:

Convolutional Neural Networks (CNN), Deep learning, Image processing, Machine Learning (ML), Plant disease detection

Abstract

The rapid development of machine learning and artificial intelligence is dramatically changing plant disease. The most important among them include the detection of plant diseases, where crop diseases are identified, categorized, and analysed with the help of AI and ML systems. It examines the application of AI and ML techniques in detecting plant disease, with regards to how increased farm output and diminished harvest losses could ensue in sustainable farming. We carry out this study to illuminate how AI-based solutions are transforming current farming practices in relation to methods, challenges, and emerging trends in this burgeoning field.

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References

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