SBIR Phase I: Connected Livestock: Farm Animal Health Monitoring and Virtual Fencing Internet of Things (IoT) Device

SBIR 第一阶段：互联畜牧业：农场动物健康监测和虚拟围栏物联网 (IoT) 设备

• 批准号: 2130788
• 负责人: Nathaniel Slinkert
• 金额: $ 25.58万
• 依托单位: VENCE CORP
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-15 至 2022-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2130788&HistoricalAwards=false
• 关键词: SBIR; Phase; Connected; Livestock; Farm

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to enable holistic farm management by assisting ranchers/farmers in making more informed decisions about when and where to graze their livestock while minimizing negative environmental impacts through regenerative farming. The innovation enables monitoring of animal health in real time to assist in disease control and prevention. Poorly managed livestock systems have resulted in a variety of environmental and health problems. The project, which includes innovation in the Internet of Things, sensors, machine learning, and wireless communications, when applied to farming practices, seeks to alter how ranchers and agricultural businesses manage farms in terms of animal health, the environment, productivity, and farm economics. The innovation may have an impact on agricultural efficiency and cost reduction. Farmers will be able to track and regulate animal movement, classify animal activity and behavior, and predict and monitor animal health in real time using data collected by the platform's sensors. Early detection of health impacts enables preventive or early-stage treatments, as well as disease control and prevention on a broader scale.This SBIR Phase I project seeks to develop an Internet of Things (IoT) platform capable of tracking a variety of data in real time, including animal movement (e.g., location and direction), animal activity (walking, grazing, etc.), animal behavior, and animal health. These sensor data are ideal for monitoring and evaluating a range of variables critical to animal health protection. The proposed animal management system is transformational because it is capable of gathering precise multi-sensor data while using minimal power, communicating data wirelessly, and running for an extended period of time. These capabilities will gather real-time data on the animal's movement, activity, and health, enabling accurate analysis, characterization, and monitoring of the animals. The proposed research and development activities will focus on optimizing intertial measurement unit (IMU) sensors and other components for efficient animal control, characterization of animal activity and behavior, and development of machine learning models for real time monitoring of animal health.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个小企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力是通过帮助牧场主/农民在何时何地放牧牲畜方面做出更明智的决定，同时通过再生农业最大限度地减少对环境的负面影响，从而实现全面的农场管理。这项创新能够真实的实时监测动物健康，以协助疾病控制和预防。管理不善的畜牧系统造成了各种环境和健康问题。该项目包括物联网、传感器、机器学习和无线通信方面的创新，当应用于农业实践时，旨在改变牧场主和农业企业在动物健康、环境、生产力和农业经济方面管理农场的方式。这项创新可能对农业效率和降低成本产生影响。农民将能够跟踪和调节动物运动，对动物活动和行为进行分类，并使用平台传感器收集的数据真实的实时预测和监测动物健康。对健康影响的早期检测可以实现预防性或早期治疗，以及更广泛范围内的疾病控制和预防。这个SBIR第一阶段项目旨在开发一个物联网（IoT）平台，能够真实的时间跟踪各种数据，包括动物运动（例如，位置和方向），动物活动（行走，放牧等），动物行为和动物健康。这些传感器数据是监测和评估动物健康保护关键变量的理想选择。所提出的动物管理系统是变革性的，因为它能够收集精确的多传感器数据，同时使用最小的功率，无线传输数据，并运行较长的时间。这些功能将收集有关动物运动、活动和健康的实时数据，从而实现对动物的准确分析、表征和监测。拟议的研发活动将侧重于优化惯性测量单元（IMU）传感器和其他组件，以实现有效的动物控制，表征动物活动和行为，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查进行评估，被认为值得支持的搜索.