I-Corps: Software that allows beekeepers to identify potential bee health issues

I-Corps：允许养蜂人识别潜在蜜蜂健康问题的软件

• 批准号: 2033265
• 负责人: David Firth
• 金额: $ 5万
• 依托单位: University of Montana
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2023-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2033265&HistoricalAwards=false
• 关键词: Corps; Software; allows; beekeepers; identify

The broader impact/commercial potential of this I-Corps project is to improve the health of bees. Pollination due to bees is responsible for more than $15 billion in increased crop value each year. The proposed technology uses artificial intelligence to listen to bees and compare their in-hive sounds to an extensive database of healthy and unhealthy bees. This technology has the potential to significantly reduce the time commercial beekeepers spend inspecting their bees, and as a result to improve the health of the bees. The technology also has the potential to allow more people to become backyard beekeepers as they now have a technology tool to help them asses their bees' health.This I-Corps project seeks to evaluate the commercial potential of technology that listens to bees at the hive entrance for 30 seconds, and then compares that sound to an onboard proprietary database of recorded reference sounds of bees having specific health issues. Using artificial neural network software, the technology rapidly assesses whether the sounds match those made by bees with one of seven bee health issues significant to beekeepers. These health issues are Queenless, Varroa mite, Africanized, Small Hive Beetle, Foul Brood, Nosema Ceranae and Failing Colony (sometimes referred to as Colony Collapse Disorder). Extensive global research has been conducted on listening to bees in the hive and matching those sounds to very specific bee health issues.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I-Corps项目更广泛的影响/商业潜力是改善蜜蜂的健康。蜜蜂引起的虫害每年使农作物价值增加150亿美元以上。这项技术使用人工智能来倾听蜜蜂，并将它们在蜂巢中的声音与健康和不健康蜜蜂的广泛数据库进行比较。 这项技术有可能大大减少商业养蜂人花在检查蜜蜂上的时间，从而改善蜜蜂的健康。 这项技术也有可能让更多的人成为后院养蜂人，因为他们现在有一种技术工具来帮助他们评估蜜蜂的健康状况。这个I-Corps项目旨在评估技术的商业潜力，该技术在蜂巢入口处倾听蜜蜂30秒，然后将该声音与机载专有数据库记录的有特定健康问题的蜜蜂的参考声音进行比较。该技术使用人工神经网络软件，快速评估蜜蜂发出的声音是否与养蜂人面临的七个蜜蜂健康问题之一相匹配。这些健康问题是无女王，瓦螨，非洲化，小蜂箱甲虫，肮脏的育雏，微孢子虫和失败的殖民地（有时被称为殖民地崩溃障碍）。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标准进行评估，被认为值得支持。