Penulis: Suhendra
Tahun terbit: 2025
Jumlah halaman: 131
Dimensi: 15.5 x 23 cm
Penerbit: Yayasan Sahabat Alam Rafflesia
ISBN: xxx-xxxx-xxx-xxxx
Sinopsis: This book explores the integration of image-based technologies and artificial intelligence in the classification and quality assessment of coffee across various stages of the post-harvest process. It examines key advancements in computer vision, deep learning, and machine learning that enable precise detection of physical defects, ripeness levels, fermentation progress, and roasting characteristics. By aligning visual parameters with sensory and cupping scores, this work offers a comprehensive framework for automated grading and predictive evaluation. Drawing upon recent research and practical case studies, the book presents a modular approach to developing robust, scalable, and real-time quality control systems in the coffee industry. It is intended as a foundational reference for researchers, engineers, and professionals seeking to harness image analytics for more transparent, efficient, and data-driven coffee production.