Editorial Team

Henderi (Universitas Raharja, Indonesia)

Artificial Intelligence in Agriculture Systems (AIAS) is an international, peer-reviewed scholarly journal dedicated to advancing the integration of artificial intelligence (AI), Internet of Things (IoT), and data analytics in the agricultural domain. It publishes high-quality research articles, reviews, and case studies that explore technological innovations and applied methodologies supporting the digital transformation of agriculture toward sustainability, efficiency, and resilience. The journal serves as a global platform for academics, practitioners, and policymakers to exchange ideas, develop frameworks, and share evidence-based insights in smart, data-driven agriculture.

Topics covered include:

Artificial Intelligence and Machine Learning in Precision Agriculture and Smart Farming; Computer Vision and Sensing Technologies for Crop Monitoring and Yield Prediction; Agricultural Robotics, Automation, and Unmanned Aerial Systems (UAS); Climate-Smart and Sustainable Agriculture with Intelligent Technologies; IoT-Based Agricultural Systems and Smart Farming Infrastructure; Data-Driven Decision Support Systems and Predictive Analytics in Agriculture; Agricultural Supply Chain Optimization and Digital Farming Ecosystems.

AIAS aims to foster interdisciplinary collaboration across computer science, agronomy, data science, robotics, and environmental engineering, contributing to innovative solutions for global agricultural challenges. The journal emphasizes research that enhances food security, environmental sustainability, and resource optimization through intelligent systems. Papers published in AIAS are grounded in rigorous theoretical, empirical, or applied research and are expected to clearly articulate their contributions to both scientific knowledge and practical implementation. Authors are encouraged to address real-world agricultural problems while considering broader implications such as sustainability, climate adaptation, and responsible technology use. In alignment with global priorities, AIAS welcomes research that supports sustainable agriculture and contributes to the achievement of the  United Nations 2030 Sustainable Development Goals (SDGs).

Subject Area and Category:

Artificial Intelligence in Agriculture Systems focuses on the application of intelligent technologies in agricultural systems. The journal covers research on AI and Machine Learning in Agriculture; Precision Farming and Smart Agriculture Systems; Agricultural Robotics and Automation; IoT and Sensor-Based Agricultural Technologies; Climate-Smart and Sustainable Agriculture; and Data Analytics and Decision Support Systems. It also addresses interdisciplinary and real-world applications across farming systems, agri-food supply chains, environmental management, and global agricultural ecosystems.

Starting publishing date: 2025

Frequency: Quarterly (March, June, September, and December)

Indexed on: