Idézet:This book introduces the fundamentals of deep learning models and their current applications in a diverse range of subtopics in plant sciences and agriculture. Areas covered include: functional genomics, multiple omics, stress physiology, plant disease diagnosis, plant-microbe interactions, and high-throughput technologies (phenotyping and synthetic biology). This book offers an ideal reference for readers in a range of research fields in plant biology, plant pathology, and agricultural crop sciences. It is designed to be an inspiration for new ideas and future experiments to advance the progress of stress-smart and sustainable agriculture.

Idézet:? Deep Learning in Plant Science and Agricultural Biotechnology.epub (Jen-Tsung Chen (2026) (5.54 MB)
? Deep Learning in Plant Science and Agricultural Biotechnology.pdf (Jen-Tsung Chen (17.43 MB)