Projects per year
Abstract
With the development of remote sensing, robotics, computer vision and artificial intelligence, plant phenomics research has been developing rapidly in recent years. Here, we first introduced a concise history of this research domain, including the theoretical foundation, research methods, biological applications, and the latest progress. Then, we introduced some important indoor and outdoor phenotyping approaches such as handheld devices, ground-based manual and automated vehicles, robotic systems, Internet of Things (IoT) based distributed platforms, automatic deep phenotyping systems, and large-scale aerial phenotyping, together with their advantages and disadvantages during the applications. In order to extract meaningful information from big image-and sensor-based datasets generated by the phenotyping, we also specified key phenotypic analysis methods and related development procedures. Finally, we discussed the future perspective of plant pheonmics, with recommendations of how to apply this research field to breeding, cultivation and agricultural practices in China.
Original language | English |
---|---|
Pages (from-to) | 580-588 |
Number of pages | 9 |
Journal | Journal of Nanjing Agricultural University |
Volume | 41 |
Issue number | 4 |
DOIs | |
Publication status | Published - 09 Jul 2018 |
Keywords
- phenomics
- multi-scale phenotyping
- remote sensing
- imaging
- robotics
- Internet of Things (IoT)
- artificial intelligence
- high-throughput traits analyses
Fingerprint
Dive into the research topics of 'Plant phenomics: history, present status and challenges'. Together they form a unique fingerprint.Projects
- 2 Finished
-
A China-UK joint phenomics consortium to dissect the basis of crop stress resistance in the face of climate change
Doonan, J. (PI), Han, J. (CoI), Liu, Y. (CoI) & Mur, L. (CoI)
Biotechnology and Biological Sciences Research Council
01 Jul 2018 → 31 Dec 2023
Project: Externally funded research
-
Improving models and plant phenotyping for smart agriculture under abiotic stress and co2 (MODCARBOSTRESS)
Doonan, J. (PI)
31 Mar 2015 → 30 Mar 2018
Project: Externally funded research