Travel: Participant Support for a Workshop on Sustainable Precision Agriculture in the Era of IoT and Artificial Intelligence

面对与气候变化有关的问题，农业在世界各地面临着越来越多的挑战。在机器学习和人工智能的发展推动下，需要对气候智能型农业进行新的关注，以更好地管理复杂的农业网络物理系统，以保持生产力，确保粮食安全，同时限制农业对温室气体排放的影响。该提案将为美国参加物联网（IoT）/人工智能（AI）/物联网（IoT）研讨会提供支持。机器学习（ML）支持的精准农业将于2023年7月由Beer-Sheva的Ben-Gurion大学主办。重点将是精准农业中的大数据采集和基于AI/ML的分析。该奖项将涵盖广泛的主题，重点关注如何利用物联网/人工智能/机器学习支持可持续农业进一步发展的关键挑战。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。

Agriculture faces increasing challenges all around the world in the face of climate-change related issues. A new focus on climate smart agriculture catalyzed by developments in machine learning and artificial intelligence will be needed to better manage complex agricultural cyber-physical systems to maintain productivity to ensure food security while constraining the impact that agriculture has on greenhouse gas emissions.This proposal is to provide support for U.S. participation in a workshop on Internet of things (IoT)/artificial intelligence(AI)/machine learning (ML)-enabled precision agriculture to be hosted by Ben-Gurion University at Beer-Sheva in July 2023. The focus will be on big data acquisition and AI/ML-based analytics in precision agriculture. It will cover a wide range of topics focused on scoping of the key challenges remaining in how to use IoT/AI/ML to support further development of sustainable agriculture.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.