{"id":6357,"date":"2026-05-08T19:12:23","date_gmt":"2026-05-08T10:12:23","guid":{"rendered":"https:\/\/sagri.tokyo\/?p=6357"},"modified":"2026-05-08T19:12:23","modified_gmt":"2026-05-08T10:12:23","slug":"carbon_plan_ai","status":"publish","type":"post","link":"https:\/\/sagri.tokyo\/en\/2026\/05\/08\/carbon_plan_ai\/","title":{"rendered":"Sagri Launches New Feature “Carbon Plan AI” to Decarbonization Digital Product “SagriVision”"},"content":{"rendered":"\n

~ Visualizing the impact of regenerative agriculture and carbon credit potential ~<\/p>\n\n\n\n

Sagri Co., Ltd. (Headquarters: Tanba City, Hyogo; CEO: Shunsuke Tsuboi; hereinafter \u201cSagri\u201d) announces the addition of a new feature, \u201cCarbon Plan AI,\u201d to its decarbonization calculation digital product \u201cSagriVision<\/a>,\u201d which supports carbon traceability of farmland. This new feature is based on a scientifically validated soil carbon dynamics model and supports scenario-based analysis of soil carbon changes.<\/p>\n\n\n\n

\u201cCarbon Plan AI\u201d simulates changes in soil organic carbon (SOC) stocks, greenhouse gas emission reductions, and carbon credit generation potential based on farming scenarios such as the introduction of cover crops, crop residue management, fertilizer\/organic input applications, and reduced tillage intensity. It supports decision-making for regenerative agriculture and carbon projects.<\/p>\n\n\n\n

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\u25a0 Background
<\/strong>Soil carbon-based carbon credits are gaining global attention as a nature-based climate solution. However, project development under methodologies such as VCS VM0042 requires advanced expertise, making it difficult to estimate credit generation potential before investment decisions. Carbon Plan AI was developed as a feasibility assessment tool to address this challenge.<\/p>\n\n\n\n

\u25a0 Key Features
<\/strong>1. SOC Projection Based on Regenerative Agriculture Scenarios
Carbon Plan AI predicts future changes in soil organic carbon (SOC) stocks based on regenerative practices such as cover cropping, residue management, and compost application, and reduced tillage intensity. It utilizes the soil carbon dynamics model \u201cRothC\u201d to simulate the impact of management changes on soil carbon.<\/p>\n\n\n\n

2. Automated Estimation of Carbon Credit Potential
By comparing baseline (current practices) and improved scenarios, the system automatically estimates carbon credit generation potential. This enables stakeholders to evaluate expected carbon value before project implementation, supporting more rational investment decisions.<\/p>\n\n\n\n

\u25a0 Positioning within SagriVision
<\/strong>SagriVision is a decarbonization calculation platform that covers the entire lifecycle of soil carbon projects. With the addition of Carbon Plan AI, it enables integrated support from feasibility assessment to carbon credit generation.
Learn more about SagriVision: https:\/\/sagrivision.com\/<\/a><\/p>\n\n\n\n

\u25a0 Future Outlook
<\/strong>Sagri will continue to enhance its digital MRV platform by expanding farming scenarios and strengthening verification of agricultural practices using satellite data. The company will also accelerate international expansion in regions such as Brazil and Ukraine, contributing to sustainable agriculture and environmental restoration globally.<\/p>\n\n\n\n

\u25a0 Contact
<\/strong>Companies and organizations interested in collaboration, pilot projects, or our solutions in Japan and abroad are encouraged to contact us.
Email: agri-innovation-dev@sagri.co.jp<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

~ Visualizing the impact of regenerative agriculture and carbon credit potential ~ Sagri Co., Ltd. (Headquarte […]<\/p>\n","protected":false},"author":30,"featured_media":6367,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"_locale":"en_US","_original_post":"https:\/\/sagri.tokyo\/?p=6349","footnotes":""},"categories":[50],"tags":[38,16,39,82,83,15,24,23],"class_list":["post-6357","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-announcement","tag-agritech","tag-ai","tag-remotesensing","tag-82","tag-83","tag-15","tag-24","tag-23","en-US"],"jetpack_featured_media_url":"https:\/\/sagri.tokyo\/wp-content\/uploads\/2026\/05\/1280_670_carbon-plan-AI-EN-1.png","jetpack_shortlink":"https:\/\/wp.me\/pgBIK2-1Ex","_links":{"self":[{"href":"https:\/\/sagri.tokyo\/wp-json\/wp\/v2\/posts\/6357","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sagri.tokyo\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sagri.tokyo\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sagri.tokyo\/wp-json\/wp\/v2\/users\/30"}],"replies":[{"embeddable":true,"href":"https:\/\/sagri.tokyo\/wp-json\/wp\/v2\/comments?post=6357"}],"version-history":[{"count":3,"href":"https:\/\/sagri.tokyo\/wp-json\/wp\/v2\/posts\/6357\/revisions"}],"predecessor-version":[{"id":6383,"href":"https:\/\/sagri.tokyo\/wp-json\/wp\/v2\/posts\/6357\/revisions\/6383"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sagri.tokyo\/wp-json\/wp\/v2\/media\/6367"}],"wp:attachment":[{"href":"https:\/\/sagri.tokyo\/wp-json\/wp\/v2\/media?parent=6357"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sagri.tokyo\/wp-json\/wp\/v2\/categories?post=6357"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sagri.tokyo\/wp-json\/wp\/v2\/tags?post=6357"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}