SBIR Phase I: Cultivation Assistant Platform

这项小企业创新研究（SBIR）第一阶段项目的更广泛影响/商业潜力是为室内农民提供数据见解，以降低风险并提高资源的有效利用，以种植营养密集的食物。该公司的价值主张是推出首个现成的智能水质和大气状况监测平台，以支持目前价值46亿美元的可控环境农业市场。拟议的预置智能服务将专注于精准农业控制和先进的农业技术，采用模块化方法，将多个传感器插入一个统一的系统，以全天候定期捕获水和空气质量数据。温度、pH值和溶解氧测量值将用于识别健康状况、显示趋势分析、预测和诊断失衡，并提供警报、警报和消息通知，以指导恢复系统平衡的协调工作。目标市场是快速增长的美国水培和水培产业。这个小企业创新研究（SBIR）第一阶段项目涉及物联网（IoT）平台服务的开发，以克服减缓室内农业数字化转型的遗留问题。由于专有的应用程序接口和封闭的数据模式来融合不同的数据集源，现有的解决方案没有提供解决开放数据处理的开放平台方法。测量数据将被融合（即，覆盖和三角测量），以监测测量参数之间的关系。该项目的范围是开发关键特性，为现场测试做准备。科学方法将利用固有的异构和复杂的边缘技术。与第三方供应商模块化传感器阵列、微控制器、微服务和执行器的数据连接依赖于许多不同的操作技术通信标准——该提案将通过硬件和软件解决方案克服这些挑战，这些解决方案将在容器内集成微服务，从而实现应用程序的可移植性，并简化应用程序的部署和编排。一个标准的开放框架将用于利用工业标准协议和消息结构接口促进可互操作的软件应用程序和增值服务。该解决方案将使第三方模块集成连接到一个统一的、包含的、存储转发的平台，该平台包括开源和专有的附加模块，以实现监控和分析。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to provide indoor farmers with data insights to reduce risks and improve efficient use of resources to grow nutrient dense food. The value proposition is a first-to-market, off-the-shelf smart water quality and atmospheric conditions monitoring platform to support controlled environment agriculture, currently a $4.6 billion market. The proposed on premise smart service will focus on precision agriculture controls and advance state of the art in agriculture technology using a modular approach to enable plugging in multiple sensors into a unified system to capture water and air quality data at routine intervals around the clock. The temperature, pH, and dissolved oxygen measurements will be used to identify healthy conditions, display trend analyses, predict and diagnose imbalances, and provide alerts, alarms, and message notifications to guide coordination of efforts to regain system balance. The target markets are the fast-growing U.S. aquaponics and hydroponics industries. This Small Business Innovation Research (SBIR) Phase I project involves development of an Internet of Things (IoT) platform service to overcome legacy issues slowing the digital transformation in indoor agriculture. Existing solutions do not provide an open platform approach addressing the handling of open data due to proprietary application interfaces and closed data schemas to fuse disparate dataset sources. The measured data will be fused (i.e., overlaid and triangulated) to monitor relationships between measured parameters. The scope of the project is to develop key features in preparation for field testing. The scientific approach will leverage inherently heterogenous and complex edge technologies. Data connectivity with third party vendor modular sensor arrays, microcontrollers, microservices, and actuators rely on many different operational technology communication standards — the proposal will overcome these challenges with hardware and software solutions that will integrate microservices within a container to enable application portability and simplify application deployment and orchestration. A standard open framework will be used to facilitate interoperable software applications and value add services utilizing industry standard protocols and message structure interfaces. This solution will enable third party module integration to connect into a unified, contained, store-and-forward platform involving open source and proprietary add-on modules to enable monitoring and analysis.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.