A Systematic Review of Deep Learning Approaches for Potato Plant Disease Diagnosis

Authors

  • Tholoana Sejane
  • Lakhwinder Kaur

Keywords:

CNN, Diagnosis, Deep learning, Early blight, Late blight, Plant diseases, Potato plant

Abstract

This research aims to analyze multiple methods, identify the gaps within them, and suggest a possible improvement towards the gap of classification within the real world utilizing a systematic approach on studies that have used a convolutional neural network CNNs based deep learning technique. This study is primarily centered around the diseases of potato plants like late blight and early blight. The models will be evaluated in relation to the baseline dataset used, multi component key performance indicators including, but not limited to accuracy, precision, recall, F1 score and different underlying research methods and their corresponding outcome measures.

References

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Published

2025-05-16

How to Cite

Tholoana Sejane, & Lakhwinder Kaur. (2025). A Systematic Review of Deep Learning Approaches for Potato Plant Disease Diagnosis. Journal of Image Processing and Artificial Intelligence, 11(2), 13–18. Retrieved from https://matjournals.net/engineering/index.php/JOIPAI/article/view/1893

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Section

Articles