Intelligent Agriculture

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
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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.

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