人工智能助力气候智能型农业和粮食安全.pdf

1、OFFICE OF CLIMATE CHANGE,BIODIVERSITY AND ENVIRONMENTAI for Climate Smart Agriculture and Food SecurityMinAh KimAI Specialist(OCBD)Erik van IngenSenior Digital Agriculture and Innovation Specialist(OIN)Bhat et all.,2025 AI for Climate Resilience and Extreme Weather Events remain underexplored Its po

2、tential for enhancing long-term climate resilience in agriculture needs further developmentThingujam et al.,2025Upcoming AI usecase for climate resilience AI,multi-omics,and advanced phenotyping,ensuring a resilient and sustainable global food system amid climate changePlant-associated microbiomes c

3、ontribute to stress tolerance and soil health through bioinoculants and synthetic microbial communitiesSustainable Farming PracticesEnhanced Soil ManagementFor Smallholder farmersTinyML(Tiny Machine Learning)for real-time water stress detection in coffee-banana intercropping systems:Real-time low-co

4、st monitoring of water stress using field-deployable sensor unitsFAO Digital Service Portfolio:Collaboration with the Digital Green which delivers free,real-time,climate-smart,and locally relevant advice in farmers own languages through text,video,and voiceAI-powered decisions for soil data(AI-DSD):

5、an AI-powered web mapping platform that transforms complex environmental data into clear,actionable insights for smarter soil management decisions using Retrieval Augmented GeneratorPolicy AdviceAI-Powered NDC-NAP Analysis on Agrifood SystemSelection out of 20+FAO AI usecasesRisk ManagementLocalized

6、 agricultural-digital response for adaptive planning(LADRAP):Real-time flood damage assessment,forecast agricultural losses,and guide adaptive planning based on climate projections and agroecological conditions in Mozambique,Bangladesh,and the Philippines Risk