Abstract

Advances in artificial intelligence (AI) have the potential to transform the way we identify and monitor plant pests and diseases. However, there are several challenges that need to be addressed, including the need for large, high-quality datasets, the requirement for expertise in AI and data science, and the development of more sophisticated algorithms and methods. As these challenges are addressed, there is likely to be an increasing focus on the application of AI in the agricultural sector, including plant disease diagnosis.

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