The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems

Modern agriculture and food production systems are facingincreasing pressures from climate change, land and wateravailability, and, more recently, a pandemic. These factors arethreatening the environmental and economic sustainability ofcurrent and future food supply systems. Scientific andtechnological innovations are needed more than ever to secureenough food for a fast-growing global population. Scientificadvances have led to a better understanding of how variouscomponents of the agricultural system interact, from the cell tothe field level. Despite incredible advances in genetic tools overthe past few decades, our ability to accurately assess cropstatus in the field, at scale, has been severely lacking untilrecently. Thanks to recent advances in remote sensing andArtificial Intelligence (AI), we can now quantify field scalephenotypic information accurately and integrate the big datainto predictive and prescriptive management tools. This reviewfocuses on the use of recent technological advances in remotesensing and AI to improve the resilience of agricultural systems,and we will present a unique opportunity for the development ofprescriptive tools needed to address the next decade’sagricultural and human nutrition challenges.