Technologies that reduce carbon emissions by promoting the efficient use of water can support successful adaptation , provided they do not have adverse distributional outcomes . Water management in agriculture has long seen the use of technology. For example, the use of technology to improve access to water, for example, through the diffusion of groundwater pumps in the 1970s in South Asia, had several livelihood benefits, but made agriculture more carbon-intensive . More recently, technology has been used to improve water use efficiency in agriculture through the adoption of drip and sprinkler irrigation , and the use of the Internet of Things  . In addition, innovations to reuse water through various wastewater recovery technologies , create potable water through desalinisation  and reuse of wastewater in agriculture  are also on the rise . Solar technologies are increasingly used for irrigation, wastewater recovery, desalinisation and water harvesting . Machine learning and artificial intelligence technologies  have started being used in many water-use sectors, such as urban settings , wastewater management  and agricultural water management, but mostly in high-income countries mostly on an experimental basis . Technology is being increasingly used in hydrological sciences for measurements and monitoring , as well as for creating comprehensive hydrometeorological warning systems . Lack of technology and knowledge transfer, especially related to remote sensing, is an adaptation barrier in states with less resources .
IPCC
Climate Change 2022: Impacts, Adaptation and Vulnerability
IPCC Report