27 citations
- Chiba UniversityJP3 papers
- Research Center for Agricultural Information TechnologyJP3 papers
- RIKEN BioResource Research CenterJP3 papers
- RIKEN Center for Integrative Medical SciencesJP3 papers
- RIKEN Center for Sustainable Resource ScienceJP3 papers
- Kitasato UniversityJP2 papers
- RIKEN Center for Advanced PhotonicsJP2 papers
- Agriculture and FoodAU1 paper
- Arvalis - Institut du VégétalFR1 paper
- Commonwealth Scientific and Industrial Research OrganisationAU1 paper
- ETH ZurichCH1 paper
- Fujitsu (Japan)JP1 paper
6 papers
RDF-star2Vec: RDF-star Graph Embeddings for Data Mining
Shusaku Egami, Takanori Ugai, Masateru Oota +4
Knowledge Graphs (KGs) such as Resource Description Framework (RDF) data represent relationships between various entities through the structure of triples (<subject, predicate, obj…
Antibiotic-dependent instability of homeostatic plasticity for growth and environmental load
Shunnosuke Okada, Yudai Inabu, Hirokuni Miyamoto +15
Reducing antibiotic usage in livestock animals has become an urgent issue worldwide to prevent antimicrobial resistance. Here, abuse of chlortetracycline (CTC), a versatile antibac…
Estimation of symbiotic bacterial structure in a sustainable seagrass ecosystem on recycled management
Hirokuni Miyamoto, Nobuhiro Kawachi, Atsushi Kurotani +17
Seagrass meadows play an essential role in blue carbon and aquatic ecosystem services. However, methods for the flourishing of seagrass are still being explored. Here, data from 49…
Agricultural quality matrix-based multiomics structural analysis of carrots in soils fertilized with thermophile-fermented compost
Hirokuni Miyamoto, Katsumi Shigeta, Wataru Suda +28
Compost is used worldwide as a soil conditioner for crops, but its functions have still been explored. Here, the omics profiles of carrots were investigated, as a root vegetable pl…
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders
Harshana Habaragamuwa, Yu Oishi, Kenichi Tanaka
Agricultural image recognition tasks are becoming increasingly dependent on deep learning (DL); however, despite the excellent performance of DL, it is difficult to comprehend the…
Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods
E. David, S. Madec, P. Sadeghi-Tehran +14
Detection of wheat heads is an important task allowing to estimate pertinent traits including head population density and head characteristics such as sanitary state, size, maturit…