Nondestructive Phenomic Tools for the Prediction of Heat and Drought Tolerance at Anthesis in Brassica Species [0.03%]
brassica作物花期耐热和抗旱表型预测的非破坏性技术
Sheng Chen,Yiming Guo,Xavier Sirault et al.
Sheng Chen et al.
Oilseed Brassica species are vulnerable to heat and drought stress, especially in the early reproductive stage. We evaluated plant imaging of whole plant and flower tissue, leaf stomatal conductance, leaf and bud temperature, photochemical ...
Seishi Ninomiya,Frédéric Baret,Zong-Ming Max Cheng
Seishi Ninomiya
Easy MPE: Extraction of Quality Microplot Images for UAV-Based High-Throughput Field Phenotyping [0.03%]
简易MPE：基于无人机的高通量田间表型提取高质量微图图像
Léa Tresch,Yue Mu,Atsushi Itoh et al.
Léa Tresch et al.
Microplot extraction (PE) is a necessary image processing step in unmanned aerial vehicle- (UAV-) based research on breeding fields. At present, it is manually using ArcGIS, QGIS, or other GIS-based software, but achieving the desired accur...
Applying FAIR Principles to Plant Phenotypic Data Management in GnpIS [0.03%]
FAIR原则在GnpIS植物表型数据管理中的应用
C Pommier,C Michotey,G Cornut et al.
C Pommier et al.
GnpIS is a data repository for plant phenomics that stores whole field and greenhouse experimental data including environment measures. It allows long-term access to datasets following the FAIR principles: Findable, Accessible, Interoperabl...
A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting [0.03%]
一种弱监督的深度学习框架用于高粱穗检测和计数
Sambuddha Ghosal,Bangyou Zheng,Scott C Chapman et al.
Sambuddha Ghosal et al.
The yield of cereal crops such as sorghum (Sorghum bicolor L. Moench) depends on the distribution of crop-heads in varying branching arrangements. Therefore, counting the head number per unit area is critical for plant breeders to correlate...