People of Interest · needs-review

Dr. Maryna Kuzmenko

Petiole · Publication date unknown

[AI & Agriculture] Leveraging AI to improve agricultural efficiency and sustainability.

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Petiole. Date unknown. Dr. Maryna Kuzmenko. https://www.linkedin.com/in/kuzmenkomaryna/ (AI & Environment Resource Hub; record atlas-3ed0e00a4174; collection snapshot 2026-09-15).

Classification and context

Included in the original People of Interest collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.

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Available source metadata

Author or creator
Unknown or not supplied
Publisher
Petiole
Publication date
Unknown or not supplied
Date precision
unknown
Geographic scope
Unknown
Language
unknown
Peer review
unknown
Source status
deferred-rate-limit
Last verified
Not yet verified
Snapshot import
2026-09-06
Legacy domain
Biodiversity & Ecosystems
Legacy subdomain
Unknown or not supplied

Provenance and review

Source sheet: People of Interest · Row 8 · Original ID: Not supplied.

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This is a directory, not an expert survey, ranking, or inferred affiliation network. Check deferred after source rate limit · checked 2026-09-06. Metadata not yet corroborated. The import date is not the original date added.

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Related through shared environmental topics

Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.

Shared topics: Cross-cutting sustainability; Biodiversity and ecosystems; Agriculture and food

Scientific Paper · 2025-09-24

BoreaRL: A Multi-Objective Reinforcement Learning Environment for Climate-Adaptive Boreal Forest Management

Introduces BoreaRL, a multi-objective reinforcement learning environment for climate-adaptive boreal forest management. Boreal forests store 30-40% of terrestrial carbon, much in climate-vulnerable permafrost soils. The authors show carbon sequestration goals are easier to optimize than permafrost preservation, and that effective policies must balance species composition and density to protect permafrost while maintaining carbon gains.

arXiv

Shared topics: Cross-cutting sustainability; Biodiversity and ecosystems; Agriculture and food

People of Interest

David Dao

[AI & Agriculture] Using AI and blockchain to support conservation and sustainable forestry.

GainForest.Earth

Shared topics: Cross-cutting sustainability; Biodiversity and ecosystems; Agriculture and food

Tool

EarthMap

Earth Map is an innovative, free and open-source tool developed by the Food and Agriculture Organization of the United Nations (FAO) in the framework of the FAO - Google partnership. It was created to support countries, research institutes, farmers and members of the general public with internet access to monitor their land in an easy, integrated and multi-temporal manner. It allows everyone to visualize, process and analyze satellite imagery and global datasets on climate, vegetation, fires, biodiversity, geo-social and other topics. Users need no prior knowledge of remote sensing or Geographical Information Systems (GIS).

Food and Agriculture Organization of the United Nations (FAO)free

Shared topics: Cross-cutting sustainability; Biodiversity and ecosystems; Agriculture and food