A recent study by Javad Ramezani-Avval Reiabi and colleagues showcased an AI model that identifies barberry broom rust with 98% accuracy. Using a CNN architecture and cross-validation, the approach improves disease detection in agriculture. This method is a significant example of AI integration in combating plant diseases.
Q&A
- What is broom rust disease?
- How does the CNN model function?
- What benefits does cross-validation offer?
