What Role Does Biotechnology Play in AI for Agriculture?
Biotechnology complements AI by providing the biological data needed for AI systems to function effectively. For instance, genetic information about crops can be integrated into AI models to predict growth patterns, disease susceptibility, and optimal harvesting times. This synergy enhances the precision and accuracy of AI systems in agriculture.
Moreover, biotechnology innovations such as genetically modified organisms (GMOs) can be monitored and optimized using AI, ensuring that they meet safety and efficiency standards. This collaboration is vital for sustainable agricultural practices that can meet the growing global food demands.
