Machine learning for Plant Disease Identification, Tracking and Forecasting for Farmers

Authors

  • Prof.(Dr.)Ram Kinkar Pandey Author
  • Venkatesh Jamalapoor Author
  • Arjun Aljapur Author
  • Rammohan Togati Author

Abstract

Plant diseases are a major problem that threaten farmers, consumers, the environment, and the global economy. In India, field crop failure due to pathogens and pests alone costs farmers 35% of their harvest. Pesticides represent a serious threat to human health since many of them are highly toxic and can be amplified by living organisms. Avoiding these consequences is possible with proper disease detection, crop monitoring, and individualized treatment plans.

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Published

2022-01-01

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Section

Articles

How to Cite

Machine learning for Plant Disease Identification, Tracking and Forecasting for Farmers. (2022). International Journal of Food and Nutritional Sciences, 11(9), 4640-4648. https://ijfans.org/index.php/Journal/article/view/10210

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