Analysis on Digital Image Processing for Plant Health Monitoring

  • Granwehr A
  • Hofer V
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Abstract

The country's ability to become self-sufficient in food production is becoming increasingly important. Agriculture is the primary occupation of a large portion of the population in equatorial countries like India, where the climate is ideal for the spread of plants. Pests and diseases are in control of about 25% of crop loss, according to a recent study released by the Food and Agriculture Organization. Black spot, leaf spot, rust, mildew, and botrytis blight are the most common plant diseases. Deep learning is a relatively new research technique for image processing and pattern recognition that has been proven to be highly productive in detection of plant leaf diseases.

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APA

Granwehr, A., & Hofer, V. (2021). Analysis on Digital Image Processing for Plant Health Monitoring. Journal of Computing and Natural Science, 5–8. https://doi.org/10.53759/181x/jcns202101002

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