Author:
Casado-García Angela,del-Canto Arantza,Sanz-Saez Alvaro,Pérez-López Usue,Bilbao-Kareaga Amaia,Fritschi Felix B.,Miranda-Apodaca Jon,Muñoz-Rueda Alberto,Sillero-Martínez Anna,Yoldi-Achalandabaso Ander,Lacuesta Maite,Heras Jónathan
Funder
Ministerio de Economía y Competitividad
Ministerio de Ciencia, Innovación y Universidades
Agencia de Desarrollo Económico de La Rioja
Dpto. de Desarrollo Económico e Infraestructuras of Dirección de Calidad e Industrias Alimentarias del Gobierno Vasco
Alabama Agricultural Experiment Station
Hatch program of the National Institute of Food and Agriculture
U.S. Department of Agriculture, and Missouri Soybean Merchandising Council
Gobierno Vasco
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference57 articles.
1. Abdulla, W., 2017. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow. https://github.com/matterport/Mask_RCNN.
2. Aono, A.H., Nagai, J.S., Dickel, G. da S.M., et al., 2019. A Stomata Classification and Detection System in Microscope Images of Maize Cultivars. bioRXiv, 2019. doi:10.1101/538165.
3. Arbeláez, P., Barron, J.T., Pont-Tuset, J., et al., 2014. Multiscale combinatorial grouping. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR’14. IEEE, pp. 328–335. doi:10.1109/CVPR.2014.49.
4. Impact of stomatal density and morphology on water-use efficiency in a changing world;Bertolino;Front. Plant Sci.,2019
5. Deep convolutional neural networks based framework for estimation of stomata density and structure from microscopic images;Bhugra,2018
Cited by
34 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献