Modern agriculture and food production systems are facing increasing pressures from climate change, land and water availability, and, more recently, a pandemic. These factors are threatening the environmental and economic sustainability of current and future food supply systems. Scientific and technological innovations are needed more than ever to secure enough food for a fast-growing global population. Scientific advances have led to a better understanding of how various components of the agricultural system interact, from the cell to the field level. Despite incredible advances in genetic tools over the past few decades, our ability to accurately assess crop status in the field, at scale, has been severely lacking until recently. Thanks to recent advances in remote sensing and Artificial Intelligence (AI), we can now quantify field scale phenotypic information accurately and integrate the big data into predictive and prescriptive management tools. This review focuses on the use of recent technological advances in remote sensing and AI to improve the resilience of agricultural systems, and we will present a unique opportunity for the development of prescriptive tools needed to address the next decade’s agricultural and human nutrition challenges.

现代农业和粮食生产系统正面临气候变化、土地和水资源供应以及最近的流行病带来的越来越大的压力。这些因素正在威胁当前和未来粮食供应系统的环境和经济可持续性。比以往任何时候都更需要科学和技术创新，以确保为快速增长的全球人口提供足够的食物。科学进步使人们更好地了解农业系统的各个组成部分如何相互作用，从细胞到田间水平。尽管过去几十年遗传工具取得了令人难以置信的进步，但直到最近，我们仍严重缺乏大规模准确评估田间作物状况的能力。由于遥感和人工智能 (AI) 的最新进展，我们现在可以准确地量化田间规模的表型信息，并将大数据整合到预测性和规范性管理工具中。本综述侧重于利用遥感和人工智能领域的最新技术进步来提高农业系统的复原力，我们将为开发应对未来十年农业和人类营养挑战所需的规范性工具提供独特的机会。