by Shaheen Khatoon (Author), Amanpreet Das (Author)
- Precision Agriculture: Utilize AI for optimized resource management, crop monitoring, and yield prediction.
- Crop Health Monitoring: Early detection of diseases and pests through AI-powered image analysis and sensor networks.
- Smart Irrigation: AI-driven systems for efficient water management and maximizing crop yield.
- Supply Chain Optimization: Predictive analytics for demand forecasting and logistics optimization, reducing food loss.
- Quality Control: AI-based technologies ensure adherence to safety standards and detect contaminants in food production.
- Consumer Preferences: Analyze vast data for personalized product recommendations and market insights.
- Ethical and Regulatory Compliance: Address concerns regarding data privacy, algorithmic bias, and equitable access to technology.