Scientific Paper · source-verified

AI-Driven Future Farming: Achieving Climate-Smart and Sustainable Agriculture

Karishma Kumari; Ali Mirzakhani Nafchi; Salman Mirzaee; Ahmed Abdalla · 2025-03-20

The study examines how emerging technologies like AI, IoT, machine learning, and remote sensing are revolutionizing agriculture by enabling precision farming, optimizing resource use, and addressing challenges of food production under climatic uncertainty.

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Karishma Kumari; Ali Mirzakhani Nafchi; Salman Mirzaee; Ahmed Abdalla. 2025-03-20. AI-Driven Future Farming: Achieving Climate-Smart and Sustainable Agriculture. https://www.mdpi.com/2624-7402/7/3/89 (AI & Environment Resource Hub; record paper-172; collection snapshot 2026-09-15).

Classification and context

Included in the original Scientific Paper 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
Karishma Kumari; Ali Mirzakhani Nafchi; Salman Mirzaee; Ahmed Abdalla
Publisher
MDPI
Publication date
2025-03-20
Date precision
day
Geographic scope
Unknown
Language
unknown
Peer review
unknown
Source status
verified
Last verified
2026-09-15T16:58:06Z
Snapshot import
2026-09-06
Legacy domain
Agriculture & Food
Legacy subdomain
Precision Agriculture and Agricultural Informatics
journal
MDPI

Provenance and review

Source sheet: Scientific Paper · Row 176 · Original ID: paper-172.

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A paper listing is not a quality assessment. Peer review and findings require source-level confirmation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. 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; Research tools and geospatial methods; Climate and greenhouse gases; 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; Research tools and geospatial methods; Climate and greenhouse gases

Shared topics: Cross-cutting sustainability; Research tools and geospatial methods; Agriculture and food

Shared topics: Cross-cutting sustainability; Research tools and geospatial methods; Climate and greenhouse gases

Course

AI for Climate & NatureTech Training

Learn how to apply artificial intelligence, remote sensing, and spatial intelligence to solve real-world environmental challenges.

AI for Climate & NatureTech