Artificial Intelligence Applications in Agriculture and Food Quality Improvement - Hardcover

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.