Penulis: Suhendra
Tahun terbit: 2025
Jumlah halaman: 183
Dimensi: 15.5 x 23 cm
Penerbit: Yayasan Sahabat Alam Rafflesia
ISBN: xxx-xxxx-xxx-xxxx
Sinopsis: This book explores the integration of artificial intelligence techniques—particularly image-based deep learning models—for the identification of coffee species and the analysis of their morphological traits. By synthesizing advancements in computer vision, species taxonomy, and phenotypic characterization, it offers a comprehensive framework for automating the recognition of coffee varieties based on leaf, flower, and fruit attributes. Drawing from recent developments in dataset annotation, feature extraction, model evaluation, and interpretability tools, the book demonstrates how AI can enhance both scientific accuracy and scalability in biodiversity monitoring. It also critically examines the deployment of such technologies in real-world agricultural settings, including mobile applications for farmers and ethical considerations surrounding AI-driven species classification. Designed for researchers, agronomists, and AI practitioners, this volume bridges the gap between ecological expertise and intelligent automation in support of sustainable coffee research.