Viability and prediction of encapsulated Trichoderma spp. isolates using machine learning: a multi-layer perceptron-based approach

Key Points

• Viability of encapsulated Trichoderma spp. isolates significantly improves through machine learning.
• Model accuracy achieved 85%, enhancing predictions regarding fungal encapsulation.
• Analysis employs a multi-layer perceptron model to assess Trichoderma spp. isolates successfully.
• Results suggest that machine learning could revolutionize fungal applications in industry.