AI-powered models can optimize the use of resources, such as water and fertilizer, by providing accurate recommendations based on real-time data. This efficiency reduces waste and promotes sustainability. Additionally, machine learning algorithms can monitor crop health through remote sensing and image analysis, enabling early detection of disease or pest infestations, which is critical for adapting to changing conditions.

Artificial Intelligence (AI) and Machine Learning (ML), are increasingly used in monitoring agricultural drought and predicting drought events and many models are used to optimize irrigation schedules, and developing drought-resistant crops. Variants of these available models can be used in developing climate-resilient agricultural practices in coastal regions. By integrating knowledge, technology, and innovations and leveraging long-term and shorter-term management-based strategies, agriculture can become more impacting agricultural production.

AI and ML technologies help develop climate-resilient agriculture in coastal regions by predicting climate impacts like flooding and salinity intrusion, optimizing crop selection and resource use, and providing early warnings for extreme weather and pests. This enables farmers to adapt effectively and sustainably to changing conditions.

AI and ML technologies can bolster climate-resilient agriculture in coastal regions by leveraging predictive analytics, IoT sensors, and satellite imagery to optimize water use, monitor soil salinity, and forecast extreme weather events, enabling farmers to adopt adaptive practices like salt-tolerant crops or precision irrigation. Machine learning models analyze historical and real-time data to recommend planting schedules, pest management, and flood-resistant farming techniques (e.g., floating gardens), while AI-driven decision-support tools deliver localized insights via mobile platforms, bridging gaps in accessibility. By integrating these technologies with traditional knowledge, AI helps coastal communities mitigate climate risks, enhance yields, and sustainably manage fragile ecosystems—though success depends on inclusive design, affordable infrastructure, and farmer education to ensure equitable adoption.

https://unfccc.int/ttclear/misc_/StaticFiles/gnwoerk_static/AI4climateaction/28da5d97d7824d16b7f68a225c0e3493/a4553e8f70f74be3bc37c929b73d9974.pdf