KUROKI Ken
Ph.D Student,
Graduate School of Agricultral and Life Sciences, The University of Tokyo
Japan
Iwata Group
- Research Fields
- Bioinformatics / Plant Phenotyping
- Keywords
- Remote Sensing, Drone, High-Throughput Phenotyping, Computer Vision, Machine Learning
- Abstract
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Development of a high-throughput field phenotyping rover optimized for size-limited breeding fields as open-source hardware
Phenotyping is a critical process in plant breeding, especially when there is an increasing demand for streamlining a selection process in a breeding program. Since manual phenotyping has limited efficiency, high-throughput phenotyping methods are recently popularized owing to progress in sensor and image processing technologies. However, in a size-limited breeding field, which is common in Japan and other Asian countries, it is challenging to introduce large machinery in the field or fly unmanned aerial vehicles over the field. In this study, we developed a ground-based high-throughput field phenotyping rover that could be easily introduced to a field regardless of the scale and location of the field even without special facilities. We also made the field rover open-source hardware, making its system available to public for easy modification, so that anyone can build one for their own use at a low cost. The trial run of the field rover revealed that it allowed the collection of detailed remote-sensing images of plants and quantitative analyses based on the images. The results suggest that the field rover developed in this study could allow efficient phenotyping of plants especially in a small breeding field.
Please check https://doi.org/10.1270/jsbbs.21059 for the published paper
Diagram of our phenotyping UGV platform
Examples of the images captured using our phenotyping UGV platform in wheat experimental field
- External links
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