Hyperspectral imaging combined with machine learning for high‐throughput phenotyping in winter wheat
Abstract Uncrewed aerial vehicles (UAVs) are a highly successful and efficient method for phenotyping in plant breeding programs. This study explored using UAVs equipped with hyperspectral sensors to expedite breeders' decision‐making in selecting winter wheat (Triticum aestivum L.) genotypes w...
Saved in:
| Main Authors: | Sehijpreet Kaur, Vijaya Gopal Kakani, Brett Carver, Diego Jarquin, Aditya Singh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
|
| Series: | Plant Phenome Journal |
| Online Access: | https://doi.org/10.1002/ppj2.20111 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hyperspectral estimation of chlorophyll density in winter wheat using fractional-order derivative combined with machine learning
by: Chenbo Yang, et al.
Published: (2025-01-01) -
High-throughput phenotyping using hyperspectral indicators supports the genetic dissection of yield in durum wheat grown under heat and drought stress
by: Rosa Mérida-García, et al.
Published: (2024-11-01) -
Estimation of Canopy Water Content by Integrating Hyperspectral and Thermal Imagery in Winter Wheat Fields
by: Chenkai Gao, et al.
Published: (2024-11-01) -
Hyperspectral sensing for high‐throughput chloride detection in grapevines
by: Sadikshya Sharma, et al.
Published: (2024-12-01) -
Accurate irrigation decision-making of winter wheat at the filling stage based on UAV hyperspectral inversion of leaf water content
by: Xuguang Sun, et al.
Published: (2024-12-01)