Deep Learning for Field-Based Cereal Phenomics

Abstract

PhD thesis investigating deep learning methods for non-destructive, high-throughput phenotyping in cereal crops, covering NIRS, hyperspectral imaging, UAV-based plot segmentation, image-based disease assessment, and cross-platform deployment of phenomics pipelines.

Code and data availability

公開状態または取得可能な本文経路を確認できませんでした。

No evidence-backed public reproduction asset is currently recorded.