A comprehensive review on detection of plant disease using machine learning and deep learning approaches
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Abstract
Agriculture plays a significant part in India due to their population growth and increased food demands. Hence, there is a need to enhance the yield of crop. One of these important effects on low crop yields is diseases caused by bacteria, fungi and viruses. This can be prevented and handled by means of applying plant disease detection approaches. Machine learning techniques will be employed in the process of disease identification on plants as it mostly applies information themselves and offers fabulous techniques for detection of plant diseases. Methods based on Machine learning can be employed for the identification of diseases because it mainly applies on data superiority outcomes for specified task. In…
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290
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- FWCI
- 54.17
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Authors
2Topics & keywords
Topics
Keywords
- Artificial intelligence
- Machine learning
- Deep learning
- Computer science
- Identification (biology)
- Plant disease
- Multi-task learning
- Process (computing)
UN Sustainable Development Goals
- Zero hunger
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