
Driven by the common goals of food security, ecological protection, and carbon neutrality, the traditional agriculture and forestry industries are accelerating their digital, precise, and green transformation. However, challenges still remain, such as low utilization of sensory data, weak carbon accounting methods, and insufficient autonomous operation of intelligent equipment. How to achieve the leap from “experience-based management” to “model-driven management” has become a core issue of concern for both academia and industry.
To comprehensively showcase the latest achievements in smart agriculture, forestry and intelligent technology, SAFIT 2027 will be held in Harbin, China from January 15 to 17, 2027. Focusing on three major directions—Smart Agriculture Technologies, Smart Forestry and Ecosystems, Sustainability and Intelligent Applications—the conference will bring together global experts and scholars to explore key technological breakthroughs and industrialization pathways.
The conference will feature keynote speeches, oral presentations, and poster sessions. Accepted papers will be published in BIO Web of Conferences (ISSN: 2117-4458) and submitted for indexing in Scopus, CNKI, Google Scholar. We cordially invite scholars from around the world to gather in Harbin to jointly promote the deep integration of intelligent technology with the agriculture and forestry industries.
Full Paper
Submission Date
November
5
2026
Notification of Acceptance Date
December
5
2026
Registration
Deadline
December
25
2026
Conference
Dates
January
15-17
2027

Countdown to the Conference:
The topics of interest for submission include, but are not limited to:
📚︎ Smart Agriculture and Intelligent Equipment
Precision Agriculture
Smart Irrigation
Crop Monitoring
Agricultural Robots / Agri-robots
Intelligent Agricultural Machinery / Smart Farm Machinery
Agricultural Internet of Things (Agri-IoT)
AI-based Yield Prediction
Soil Health Management
Climate-Smart Agriculture
Agricultural Remote Sensing
Digital Twins and Intelligent Decision-Making
Agricultural Large Models and Agents
📚︎ Smart Forestry and Ecological Security
Forest Resource Monitoring
Forestry Remote Sensing
Forest Ecosystem Assessment
Biodiversity Monitoring
Forest Carbon Cycle and Carbon Sink
AI Applications in Forestry
Intelligent Prediction of Complex Tree Traits
Large Models and Agents for Tree Breeding
Smart Forest Management
Forest Fire Monitoring and Prediction
Prevention and Control of Pests, Diseases, and Invasive Alien Species
Forestry Robots and Intelligent Equipment
Ecosystem Services Assessment
Forestry Large Models and Agents
Multimodal Large Models for Ecological Environment
📚︎ Green, Low-Carbon and Sustainable Development
Agricultural and Forestry Renewable Energy
Integrated Energy Systems
Agricultural and Forestry Carbon Sinks and Carbon Cycle
Agricultural and Forestry Circular Economy
Green Supply Chain
Food Security
Smart Greenhouses
Urban Agriculture
Sustainable Water Resources Management
AI for Climate Adaptation
Resource Utilization of Agricultural and Forestry Waste
Green Manufacturing and Digital Transformation
After rigorous review by 2–3 experts from the organizing committee, all accepted papers will be published in BIO Web of Conferences (ISSN: 2117-4458) and submitted for indexing in Scopus, CNKI, Google Scholar.
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
Northeast Forestry University
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College of Control and Information Engineering, Northeast Forestry University College of Intelligent Science and Engineering, Northeast Agricultural University
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College of Mechanical and Electronic Engineering, Northwest A&F University
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Contact
Conference Secretary
Tel: +86-13922150140 (WeChat)
E-Mail: icsafit@163.com
If you have any questions or inquiries, please feel free to contact us.