---
格式版本: 2
标题: "Backing 16 green AI projects in Asia-Pacific"
原文链接: "https://blog.google/innovation-and-ai/models-and-research/google-deepmind/ai-planet-accelerator-apac/"
发布日期: "2026-09-07"
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发布时间校准时间: "2026-09-07T18:13:17+08:00"
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发布时间仲裁尝试次数: 0
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发现时间: "2026-09-07T18:12:57+08:00"
入库时间: "2026-09-07T10:17:58.808Z"
来源平台: "固定入口"
搜索渠道: "fixed_url"
搜索词: "https://blog.google/"
匹配关键词:
  - "AI"
相关厂家:
  - "Google"
相关专家:
  []
内容类型: "网页"
抓取工具: "Free Fetch + Defuddle"
清洗工具: "Defuddle Markdown + Defuddle/Readability 正文提取"
原始附件:
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AI优质: "否"
AI打分: 32
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "正文主线是Google DeepMind亚太环保AI加速器及16个入选组织，属于气候、农业和生态应用，不涉及超节点、AI机架或关键基础设施。来源为Google官方博客，信息完整且新增了首届名单、三个月支持计划和本周启动时间；固定知识库中的Google基础设施发布与本文事件不同，但本文没有机架级新增事实、技术规格、量产或部署信号。命中“应用与模型效率/行业应用”强否决项，当前页面仅适合作为该加速器项目的一手来源，不值得纳入超节点业务情报库。"
AI质检模型: "gpt-5.6-sol"
AI质检时间: "2026-09-07T18:18:07+08:00"
AI主题相关性: 0
AI来源权威性: 13
AI新颖性: 7
AI技术细节: 1
AI商业部署信号: 2
AI完整性: 9
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AI摘要时间: "2026-09-07T21:43:57.583Z"
采集批次: "2026年9月7日18点10分41秒"
采集批次ID: "20260907-181040-756"
去重键: "https://blog.google/innovation-and-ai/models-and-research/google-deepmind/ai-planet-accelerator-apac"
---

Across the Asia-Pacific region, startups, nonprofits, and researchers are stepping up to build a more sustainable future. To help them scale these critical solutions, we’ve selected 16 organizations for our [Google DeepMind Accelerator: AI for the Planet in APAC](https://g.co/accelerator/gdm-planet).

Kicking off this week with a hands-on bootcamp in Singapore, the program, which supports startups, nonprofits, and research teams, will help them advance their ideas using frontier AI models — like [AnthroKrishi](https://blog.google/intl/en-in/company-news/scaling-agri-resilience-from-india-to-the-world/), [ForestCast](https://research.google/blog/forecasting-the-future-of-forests-with-ai-from-counting-losses-to-predicting-risk/), [AlphaEarth Foundations](https://deepmind.google/blog/alphaearth-foundations-helps-map-our-planet-in-unprecedented-detail/), [SpeciesNet](https://research.google/blog/where-wild-things-roam-identifying-wildlife-with-speciesnet/), and [Perch](https://blog.google/innovation-and-ai/models-and-research/google-deepmind/perch-ai-model/) — to tackle urgent environmental challenges.

Here’s a look at the inaugural cohort.

## Protecting nature and building climate resilience

- [**800 Trust**](http://www.hark.nz/) **(New Zealand):** Using AI and bioacoustics to continuously monitor biodiversity and detect environmental threats
- [**Kumi Analytics**](https://www.kumianalytics.com/) **(Singapore):** Integrating remote sensing and deep learning to establish environmental baselines for conservation projects
- [**Listening Lab**](https://listeninglabnz.com/) **(New Zealand):** Developing data-efficient bioacoustic tools to monitor biodiversity through sound
- [**TelePIX**](https://www.telepix.ai/) **(South Korea):** Transforming satellite data into actionable intelligence for global mangrove monitoring
- [**Wildlife.ai**](http://wildlife.ai/) **(New Zealand):** Building open-source, AI-powered cameras for wildlife conservation
- [**Yayasan Ekosistem Lestari**](https://dev.yel.or.id/) **(Indonesia):** Creating a predictive AI platform to connect environmental degradation with disaster risk

## Advancing sustainable agriculture

- [**Edufarmers**](https://edufarmers.org/) **(Indonesia):** Delivering near real-time pest, disease, and weather guidance to smallholder farmers through everyday messaging apps
- [**Living Roots**](https://roots.ag/) **(Thailand):** Using data and AI to design biological fertilizers tailored to specific crop needs
- [**SIGMA**](https://illinois-arcs.edu.sg/research/sigma/) **(Singapore):** Developing satellite-based AI models to estimate crop yields and build climate resilience
- [**Terrastack**](https://terrastack.in/) **(India):** Combining satellite and agronomic data to provide plot-level land intelligence for smallholder farmers
- [**X-Centric**](https://www.xcentric.tech/) **(Australia):** Replacing traditional soil labs with portable, AI-enabled, X-ray hardware for instant geochemical insight

## Scaling climate and carbon solutions

- [**Archeda**](https://archeda.inc/) **(Japan):** Using satellite data to transform nature-based carbon credits into measurable, high-integrity assets at scale
- [**City Syntax Lab**](https://www.citysyntax.io/) **(Singapore):** Building an agentic AI platform to optimize energy and carbon across urban districts
- [**Climitra Carbon**](https://climitra.com/) **(India)**: Deploying Geo-AI to verify the removal of invasive species and convert them into biochar
- [**Farmers for Forests**](https://farmersforforests.org/) **(India):** Turning smallholder agroforestry into measurable carbon and biodiversity action at scale, using AI-powered drones
- [**Varaha Climate**](https://www.varaha.com/) **(India):** Empowering smallholder farmers to earn carbon credits by verifying regenerative agriculture and carbon removal, using remote sensing and AI

Over the next three months, these organizations will receive access to the latest Google AI stack (including specialized frontier models), tailored support, and mentorship from our experts. This is a unique opportunity that will help participants navigate technical complexities — and scale the next generation of solutions for our planet. We’re eager to see how they develop, deploy, and scale AI to solve environmental challenges in Asia Pacific.