Segmentation and germination prediction with crossover-boosted sunflower optimization for precision agriculture

Puntos clave

• Segmentation and germination prediction improved by 35%, enhancing crop yield potential and automation.
• Crossover-boosted sunflower optimization algorithm significantly outperformed traditional methods in tests.
• Analysis utilized real-time imaging and predictive algorithms on crop data for effective yield assessment.
• Improved precision agriculture techniques highlight the importance of advanced computational methods, supporting scalability in farming.