Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 1 h ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

IoT-enabled individual poultry monitoring with lightweight step-counting for health assessment

Related

  1. JassidNet as a quantization-aware lightweight phenotyping framework for high-throughput cotton jassid (Amrasca biguttula) detection and counting toward objective resistance screening
    Rui-Feng Wang, Kangning Cui, Iago Beffart Schardong +9
    Industrial Crops and ProductsPeer-reviewedCC BY-NC-ND13 citedPlant biologyOpenAlex
  2. Automated identification of individual birds by song enables multi-year recapture from passive acoustic monitoring data
    Sam Lapp, R. Patrick Lyon, Scott J. Wilson +7
    Nature MethodsPeer-reviewedLicence not stated7 citedEcologyOpenAlex
  3. A lightweight deep-learning detector for the real-time monitoring of the invasive frogs Rhinella marina and Polypedates leucomystax
    K. Deligkaris, M. Sadeghi Tabrizi, G. Stephens
    bioRxivPreprintCC BYFull textEcologybioRxiv
  4. Smartphone-Assisted Aerogel Colorimetric Sensor Array Coupled with Lightweight Deep Learning for Multi-Meat Freshness Monitoring.
    Hanzhi Chen, Xiao Zhou, Caoyuan Zhang +3
    Gels (Basel, Switzerland)Peer-reviewedCC BYFull textZoology & animal behaviourEurope PMC
  5. From video to encounter histories: individual identification and machine vision for salmonid capture-recapture monitoring
    K. Karlsson
    bioRxivPreprintCC BYFull textEcologybioRxiv
BibTeX
@article{sun2026iotenabled,
  title = {{IoT-enabled individual poultry monitoring with lightweight step-counting for health assessment}},
  author = {Xinran Sun and Wenyi Zeng and Bingqi Shi and Xiao Liang},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-74602-4},
  url = {https://www.nature.com/articles/s41598-026-74602-4},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - IoT-enabled individual poultry monitoring with lightweight step-counting for health assessment
AU  - Xinran Sun
AU  - Wenyi Zeng
AU  - Bingqi Shi
AU  - Xiao Liang
PY  - 2026
DA  - 2026/10/23
JO  - Scientific Reports
DO  - 10.1038/s41598-026-74602-4
UR  - https://www.nature.com/articles/s41598-026-74602-4
SN  - 2045-2322
ER  -