智能农业
Intelligent Agriculture
Journal Type:
国际期刊
Language:
英文刊
Category:
农林科学
Publish Cycle:
半年刊
Review Cycle:
7个工作日
Publish Model:
开放获取(OA)
Publish Country:
英国
Char/Page Requirement:
3版(5000字符)
ISSN:
2755-8991
Journal Introduction
Intelligent Agriculture is an international, peer-reviewed open-access journal dedicated to advancing the integration of digital technologies, intelligent systems, and data-driven solutions in agricultural production, management, and sustainability. The journal aims to provide a high-quality platform for researchers, practitioners, and policymakers to publish innovative findings that promote efficiency, resilience, and sustainability in modern agriculture. We welcome studies that demonstrate methodological rigor, technological advancement, and clear contributions to the digital transformation of agriculture.
Topics
The journal publishes original research articles, reviews, short communications, and perspectives in the following areas:
Smart Farming Technologies
Precision agriculture technologies
IoT applications in crop and livestock systems
Remote sensing, UAVs, and satellite-based monitoring
Sensor networks and field robotics
Artificial Intelligence and Data Science in Agriculture
Machine learning and deep learning models for crop prediction
Intelligent decision-support systems
Big data analytics and agricultural informatics
Computer vision for field monitoring and phenotyping
Automation and Robotics
Autonomous tractors, drones, and harvesting robots
Robotics for planting, weeding, and crop protection
Automation solutions for livestock management
Digital Agriculture and Smart Supply Chains
Blockchain applications in agricultural traceability
Digital farm management platforms
Smart logistics and post-harvest systems
ICT-based rural development technologies
Climate-Smart and Sustainable Agriculture
Digital tools for climate adaptation
Intelligent irrigation and water management systems
Smart greenhouse and controlled-environment agriculture
Data-driven strategies for soil health and resource efficiency
Modeling and Simulation
Crop growth simulation and agro-ecological modeling
Systems modeling for precision farming
Digital twins in agricultural systems
Agricultural Policy, Economics, and Adoption Studies
Socio-economic impacts of intelligent agriculture
Technology adoption, barriers, and rural innovation
Evaluation of digital agriculture policies
Editorial Board
No editorial board information available.
SinoXiv