Synthetic data at scale: a development model to efficiently leverage machine learning in agriculture
The rise of artificial intelligence (AI) and in particular modern machine learning (ML) algorithms during the last decade has been met with great interest in the agricultural industry.While undisputedly powerful, their main drawback remains the need for sufficient and diverse training data.The collection of real datasets and their annotation are th