Knowledge DiscoveryGenerating Information by Constructing AgriBigData


- 2.1 Computing
- 2.2 Communication and network
- 2.3 Storage
- 3.6 Agricultural sciences
- 3.8 Informatics
- 3.9 Environmental science
Masayuki Hirafuji
Graduate School of Agricultural and Life Sciences
Project Professor
Plants grow dynamically under changing environmental conditions. Therefore , time-series data such as plant growth and soil moisture should be collected simultaneously for the long term. Such time-series data can be analyzed as phenomena of complex systems, and the results enable objective evaluation and control in farm management and breeding. We will develop a method to construct agricultural big data (AgriBigData) automatically using our field monitoring technologies, or, sensor networks and drones. Additionally, we will develop methods on the AgriBigData to discover new knowledge, which can be applied for optimal farming and rapid breeding.
Related links
Research collaborators
- NARO
- Univ. of Tsukuba
- NEC Solutions Vietnam Co. Ltd.
Related publications
Wei Guo, Bangyou Zheng, Tao Duan, Tokihiro Fukatsu, Scott Chapman, Seishi Ninomiya, EasyPCC: Benchmark Datasets and Tools for High-Throughput Measurement of the Plant Canopy Coverage Ratio under Field Conditions, Sensors, 17, 798, 2017.
Related patents
patent application 2017-220504
SDGs
Contact
- Masayuki Hirafuji
- Email: hirafuji[at]evolution-lab.com
※[at]=@