Penulis: Suhendra
Tahun terbit: 2025
Jumlah halaman: 140
Dimensi: 15.5 x 23 cm
Penerbit: Yayasan Sahabat Alam Rafflesia
ISBN: xxx-xxxx-xxx-xxxx
Sinopsis: This book explores the intersection of artificial intelligence and botanical science in the context of oil palm cultivation, focusing on the automated recognition of inflorescence structures and varietal classification through image-based analysis. By integrating deep learning, machine vision, and trait extraction algorithms, the work presents a unified framework for enhancing phenotypic characterization, yield forecasting, and breeding strategies in Elaeis guineensis and E. oleifera. Covering the full data pipeline—from imaging modalities and annotation protocols to explainable AI and deployment in field conditions—it offers both foundational knowledge and advanced methodologies. The text also addresses ethical and practical considerations, advocating for inclusive, biodiversity-conscious applications of AI in plantation ecosystems. Bridging theory and application, this reference serves researchers, agronomists, and technologists aiming to modernize oil palm morphology with precision and accountability.