PLANT LEAF DISEASE DETECTIONUSING DEEP LEARNING

Authors

  • Vishwanath Naveen Author
  • Prof.(Dr.)Ram Kinkar Pandey Author
  • Dhondi Prathibha Author
  • Priya Ranjani Battini Author

Abstract

Rapid human population growth requires corresponding increase in food production. Easily spreadable diseases can have a strong negative impact on leaf yields and even destroy whole crops. That is why early disease diagnosis and prevention are of very high importance. Traditional methods rely on lab analysis and human expertise which are usually expensive and unavailable in a large part of the undeveloped world. Since smartphones are becoming increasingly present even in the most rural areas, in recent years scientists have turned to automated image analysis as a way of identifying crop diseases.

Published

2022-01-01

Issue

Section

Articles

How to Cite

PLANT LEAF DISEASE DETECTIONUSING DEEP LEARNING. (2022). International Journal of Food and Nutritional Sciences, 11(10), 4355-4359. https://www.ijfans.org/index.php/Journal/article/view/11183

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