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Plant Leaf Disease Detection Using Python and Machine Learning

  • Unique Paper ID: 174863
  • Volume: 11
  • Issue: 11
  • PageNo: 811-816
  • Abstract:
  • One of the largest dangers to farming activities, leaf diseases induced by bacteria, fungi, viruses, and other pathogens have the potential to result in reduced crop yields, economic loss, and food security issues. Early detection of the diseases is essential to ensure the health of the plants and agricultural production at the maximum possible level. Recent developments in deep learning have significantly enhanced the leaf disease detection and classification accuracy and robustness. In this paper, we conduct an extensive literature review of leaf diseases with an emphasis on key areas of pathogen dynamics, disease symptom, and the impact of environmental factors on disease development. Despite the progress, there are a few challenges. The combination of multiple data sources to enhance the detection ability as well as the provision of large, labelled datasets to test model performance is becoming increasingly significant. Additionally, researchers need to address issues of disease expression for different plant varieties and the intricacies involved in model development that could respond to dynamic environmental changes. To allow ongoing research in the field, the paper also describes the limitations as well as suggesting potential solutions.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 11
  • PageNo: 811-816

Plant Leaf Disease Detection Using Python and Machine Learning

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