Conference: AI-Engage

该奖项支持美国研究人员参加由美国、澳大利亚、印度和日本（Quad）研究人员组织的多边会议，主题是推进创新以增强下一代农业（AI-ENGAGE）。该研讨会旨在帮助确定AI-ENGAGE主题的范围，重点关注人工智能、机器人、传感和/或通信等新兴技术与农业应用的联合研究机会，特别是能够对抗灾能力和产量产生积极影响的应用。研讨会还将建立一个四方国家的研究人员社区，在新兴技术和农业的交叉领域进行合作。到2050年，全球人口预计将增至97亿，确保充足的粮食生产以及土地和水资源的可持续性的挑战正变得越来越复杂和紧迫。这一迅速增长的人口趋势给我们的农业系统带来了巨大压力，要求我们在处理粮食生产和资源管理的方式上进行范式转变。历史先例强调了科学驱动的创新解决方案在增强农民权能和改变粮食生产系统方面的有效性。然而，气候变化、虫害压力升级和供应链动态加剧了当代景观面临的挑战。这些挑战并不局限于国界之内，而是在各区域之间紧密相连，因此需要采取合作的多国办法。预计研讨会将讨论人工智能、自动化、风险预测和管理、机器人、传感和/或与农业应用的通信等主题。通过形成跨越四国的研究网络，团队可以跨地域设计和测试方法，共享数据，并利用彼此的技术专长为共同利益服务。研讨会是促进Quad研究网络的一个机会。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。

This award supports a participation of U.S. researchers in a multilateral conference organized by researchers in the U.S., Australia, India, and Japan (Quad) on the theme of Advancing Innovation to Empower Next Generation AGriculturE (AI-ENGAGE). The workshop aims to help scope the AI-ENGAGE theme with a focus on opportunities for joint research in emerging technologies such as artificial intelligence, robotics, sensing and/or communications with applications to agriculture, particularly applications that can positively impact resilience and yields. The workshop will also build a community of researchers from Quad countries collaborating at the intersection of emerging technologies and agriculture.As the global population is projected to swell to 9.7 billion by 2050, the challenges of ensuring adequate food production and sustainability of land and water resources are becoming increasingly complex and pressing. This burgeoning demographic trend poses a substantial strain on our agricultural systems, requiring a paradigm shift in how we approach food production and resource management. Historical precedents underscore the effectiveness of innovative, science-driven solutions in empowering farmers and transforming food production systems. However, the contemporary landscape presents challenges exacerbated by climate change, escalating pest pressures, and supply chain dynamics. These challenges are not confined within national borders but are deeply interconnected across regions, necessitating a collaborative, multi-national approach. The workshop is expected to consider topics such as artificial intelligence, automation, risk forecasting and management, robotics, sensing and/or and communications with applications to agriculture. By forming research networks that span Quad countries, teams can prototype and test approaches across geographies, share data, and leverage each other’s technical expertise for the common good. The workshop is an opportunity to catalyze those Quad research networks.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.