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)的研究人员组织的多边会议，会议的主题是推进创新以增强下一代农业(AI-Engage)的能力。研讨会旨在帮助确定人工智能参与主题的范围，重点是联合研究人工智能、机器人、传感和/或通信等新兴技术与农业应用的机会，特别是可以对复原力和产量产生积极影响的应用。研讨会还将建立一个由四个国家的研究人员组成的社区，在新兴技术和农业的交叉点上进行合作。随着全球人口预计到2050年将膨胀到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。这种迅速增长的人口趋势给我们的农业系统带来了巨大的压力，需要我们在如何处理粮食生产和资源管理方面进行范式转变。历史先例强调了创新的、科学驱动的解决方案在赋予农民权力和改变粮食生产系统方面的有效性。然而，气候变化、不断升级的虫害压力和供应链动态加剧了当代环境带来的挑战。这些挑战并不局限于国家边界内，而是跨地区紧密联系在一起，需要采取多国协作的办法。研讨会预计将审议人工智能、自动化、风险预测和管理、机器人、传感和/或与农业应用有关的通信等主题。通过形成跨越四个国家的研究网络，团队可以跨地理位置构建和测试方法的原型，共享数据，并利用彼此的技术专长实现共同利益。研讨会是促进这些四方研究网络的机会。这一奖项反映了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，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.