SBIR Phase I: Novel handheld spectroscopy for the early detection of crop afflictions

SBIR 第一阶段：用于早期检测作物病害的新型手持式光谱仪

• 批准号: 2213137
• 负责人: Robert Pellegrino
• 金额: $ 25.58万
• 依托单位: ADVANCED GROWING RESOURCES INC.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-02-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2213137&HistoricalAwards=false
• 关键词: SBIR; Phase; Novel; handheld; spectroscopy

This Small Business Innovation Research (SBIR) Phase I project will focus on development of a handheld optical scanner that integrates precise imaging with optical spectroscopy. Although this technology has broad applications ranging from industrial quality control to education, the beachhead sector to be addressed is precision agriculture. To feed a growing population of 10 billion in 2050, agricultural production will need to increase by 70% over the next 30 years. Critical to this mission is the development of innovative tools and strategies for crop protection and health management to preserve the world’s food supply. The potential customers in this segment are crop growers, consultants, and field scouts aiming to act early while reducing the use of harmful and costly chemicals. The global crop monitoring market was estimated at $2 billion in 2019 and is anticipated to reach $6 billion by 2027, growing at 15.3% annually. The sensing and imaging segment accounted for 49.3% of the market in 2019. This technology has the potential to support the adoption of more sustainable agricultural practices as well as the economic viability of small- to medium-scale farm operations in the U.S. by providing an accessible and affordable tool for disease detection and crop health management.The intellectual merit of this project is the commercial development of novel and affordable imaging spectroscopy technology in addition to application-specific analytics for the early detection of crop afflictions. Optical components of the scanning device that will be designed-for-manufacturing in this project bridge the current gap created by systems that trade the detection capabilities of spectral resolution for spatial resolution. The scanner will be deployed to collect data on grapes, a key, high-value crop that is susceptible to a number of afflictions that destroy yields before the human eye can detect them. Machine learning algorithms will be developed from this data to detect stressed and diseased states in the plant before they become apparent to visual inspection. These models will then be validated in the field with user feedback from horticultural experts and customers. Successful implementation of this technology will facilitate the detection of crop diseases before they spread. This detection capability can increase yields while reducing the use of costly and environmentally-harmful pesticides and fertilizers.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.

该小型企业创新研究（SBIR）第一阶段项目将重点开发集成精确成像与光学光谱的手持式光学扫描仪，尽管该技术具有从工业质量控制到教育的广泛应用，但要解决的滩头阵地领域是精密。为了在 2050 年养活不断增长的 100 亿人口，未来 30 年农业产量需要增加 70%，这一使命的关键是开发作物保护和健康管理的创新工具和战略，以保护农业。该领域的潜在客户是农作物种植者、顾问和田间侦察员，他们希望尽早采取行动，同时减少有害且昂贵的化学品的使用。2019 年，全球农作物监测市场预计将达到 20 亿美元。到 2027 年，该市场将达到 60 亿美元，每年增长 15.3%，2019 年传感和成像领域占市场份额 49.3%。该技术有潜力支持采用更可持续的农业实践。以及通过提供一种易于使用且负担得起的疾病检测和作物健康管理工具来提高美国中小型农场经营的经济可行性。该项目的智力优势是新型且负担得起的成像光谱技术的商业开发除了用于早期检测作物病害的特定应用分析之外，该项目中将设计用于制造的扫描设备的光学组件还弥补了当前以光谱分辨率检测能力换取空间分辨率的系统所造成的差距。 .扫描仪将部署用于收集葡萄的数据，葡萄是一种关键的高价值作物，在人眼能够察觉之前，它很容易受到多种病害的影响，从而破坏产量。将根据这些数据开发机器学习算法，以检测葡萄的压力和患病状态。然后，这些模型将根据园艺专家和客户的用户反馈在现场进行验证，这将有助于在农作物病害蔓延之前进行检测，从而提高产量。同时减少昂贵的使用该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，认为值得支持。