Seed classification with random forest models.

Josephine Elena Reek Janneke Hille Ris LambersEléonore PerretAlana R O Chin

Published in: Applications in plant sciences (2024)

This protocol is an adaptable tool for efficient and consistent identification of seed species or potentially other objects. Automated seed classification is efficient and inexpensive, making it a practical solution that enhances the feasibility of large-scale monitoring projects in conservation biology.

Keyphrases

deep learning
machine learning
randomized controlled trial
climate change
quality improvement
neural network