Transfer learning for improving generalizability in predicting soybean maturity date using UAV imagery

Key Points

• These findings reveal enhanced generalizability of deep learning models when using transfer learning techniques.
• The analysis shows a significant advantage in modeling accuracy, improving prediction efficiency for soybean maturity date.
• Utilizing UAV imagery allows for large-area data collection, facilitating better predictive modeling under varied conditions.
• Potential for practical applications in agriculture, highlighting the value of advanced machine learning in crop management.