Knowledge DiscoveryGenerating Information by Constructing AgriBigData

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.
Joint experiment in NARO (Hokkaido, Japan)
Masayuki Hirafuji
DATA-FARM to create agricultural big data
Masayuki Hirafuji

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

  • SDG2 End hunger, achieve food security and improved nutrition and promote sustainable agriculture
  • SDG7 Ensure access to affordable, reliable, sustainable and modern energy for all
  • SDG9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
  • SDG13 Take urgent action to combat climate change and its impacts
  • SDG15 Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss

Contact

  • Masayuki Hirafuji
  • Email: hirafuji[at]evolution-lab.com
    ※[at]=@
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