New Dimension in Leaf Stomatal Behavior Analysis: a Robust Method with Machine Learning Approach

Stomata are specialized pores that play a vital role in gas exchange and photosynthesis. Microscopic images are often used to assess stomatal characteristics in plants; however, this can be a challenging task. By utilizing Matterport’s Mask R-CNN implementation as the foundational model, fine-tuning was conducted on a dataset of 810 microscopic images of Hedyotis corymbosa leaves’ surfaces for automated stomatal pores detection. The outcomes were promising, with the model achieving a convergence of 98