Design and Laboratory Validation of an Automatic Vaccination Robot for Sheep
Year: 2026
Type: article
Abstract: Low vaccination efficiency and high labor demand constrain large-scale sheep farming. This study developed an automated vaccination robot integrating posture constraint, vision-based injection-site localization, and automated needle handling in a unified “constrain-localize-inject” workflow. The system comprises a hindquarter posture-correction frame, a bilateral neck-restraint mechanism with pressure feedback, and a vision-guided injection unit with automatic needle disposal. A Kendryte K210 edge-computing module enabled real-time localization of the cervical muscle region. Finite element analysis of the restraint column under a 100 N lateral load showed a maximum von Mises stress of 1.832 MPa, well below the 220.6 MPa yield strength of plain carbon steel, and a maximum displacement of 0.003 mm. Functional trials on 20 life-size artificial sheep models were completed without failure. A 500-cycle bench endurance test achieved a 95.8% overall success rate, although performance declined from 100% to 88% across successive test sets. The vision model achieved 95.86% precision, 92.67% recall, and 94.15% [email protected], with a localization error of 5.6 ± 2.1 mm and an inference latency of 38.6 ms per frame. Laying the foundation for subsequent live animal experiments.
Source: AgriEngineering
Authors: Yinzhang Fang, Yuanyuan Liu, Jie Gu, Weiye Feng, Tian Zhang
Institution: Tarim University
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: gold
Estimated APC paid: $1,930
OpenAlex ID: W7171525129