Journal of Advanced Computing and AI in Agriculture (JACAA)

About the Journal

The Journal of Advanced Computing and AI in Agriculture (JACAA) is a quarterly, peer-reviewed journal dedicated to publishing high-quality research integrating agriculture, artificial intelligence (AI), and advanced computing technologies. The journal follows a hybrid mode of publication, offering both open access and subscription-based options. JACAA provides a platform for researchers, academicians, and industry professionals to share innovative AI-driven methodologies, frameworks, and applications for modern and sustainable agriculture.

Publication Frequency

JACAA is published quarterly (four issues per year), ensuring the timely dissemination of cutting-edge research and advancements.

Coverage Topics

• AI and Machine Learning in Agriculture – Applications of deep learning, machine learning, and reinforcement learning for crop disease detection, yield prediction, and pest management.
• Computer Vision and Image Processing – Remote sensing, UAV-based crop monitoring, image-based disease classification, and automated plant growth detection.
• IoT and Smart Farming – Sensor-based soil and crop monitoring, precision irrigation, automated greenhouses, and AI-powered weather forecasting.
• Blockchain and Data Security in Agriculture – Blockchain for supply chain transparency, secure data sharing, smart contracts, and fraud prevention in agriculture.
• Big Data and Decision Support Systems – AI-driven analytics, predictive modeling for climate adaptation, GIS integration, and AI-based decision-making tools.
• Autonomous Systems and Robotics – AI-powered agricultural robots, autonomous drones and tractors, and smart mechanization in modern farming.
• Sustainable and Climate-Smart Agriculture – AI solutions for resource-efficient farming, climate-resilient crop management, and computational models for sustainability.

The Journal of Advanced Computing and AI in Agriculture (JACAA) aims to bridge the gap between AI and agriculture, fostering interdisciplinary research and practical solutions to real-world agricultural challenges.