TY - JOUR AU - Jayakody, Hiranya AU - Liu, Scarlett AU - Whitty, Mark AU - Petrie, Paul PY - 2017 DA - 2017/11/08 TI - Microscope image based fully automated stomata detection and pore measurement method for grapevines JO - Plant Methods SP - 94 VL - 13 IS - 1 AB - Stomatal behavior in grapevines has been identified as a good indicator of the water stress level and overall health of the plant. Microscope images are often used to analyze stomatal behavior in plants. However, most of the current approaches involve manual measurement of stomatal features. The main aim of this research is to develop a fully automated stomata detection and pore measurement method for grapevines, taking microscope images as the input. The proposed approach, which employs machine learning and image processing techniques, can outperform available manual and semi-automatic methods used to identify and estimate stomatal morphological features. SN - 1746-4811 UR - https://doi.org/10.1186/s13007-017-0244-9 DO - 10.1186/s13007-017-0244-9 ID - Jayakody2017 ER -