Author:
Saini Navjeet Kaur,Singh Prasun,Gnanavel S.
Reference22 articles.
1. Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions
2. Deep learning-based accurate grapevine inflorescence and flower quantification in unstructured vineyard images acquired using a mobile sensing platform
3. Zhang, Chenglong, Christiaan Mouton, João Valente, Lammert Kooistra, Rachelvan Ooteghem, Dirk de Hoog, Pieter van Dalfsen, and Peter Frans de Jong. “Automatic flower cluster estimation inappleorchardsusingaerialandgroundbasedpointclouds.” BiosystemsEngineering 221(2022):164–180.
4. Metal-organic frameworks derived hierarchical flower-like ZnO/ Co3O4 heterojunctions for ppb-level acetone detection
5. Yang, Yan, LiFan, YingPeng, Chongsheng Peng, and Xiaobo Li. “AlcohololublepolysaccharidesfromDendrobiumof ficinaleflowersasanantidepressantbyregulatingthegut–brainaxis.” International Journal of BiologicalMacromolecules (2022).