Automated fruit monitoring can support postharvest grading, quality control, and precision horticulture, but most computer-vision studies address detection, classification, or segmentation as separate tasks. This study compared pretrained YOLOv11 and U-Net-based frameworks under a common experimental setting for fruit-...
Syed Naseem Abbas, G. Gilanie, M. Rizwan et al.· Notulae Botanicae Horti Agro...· 0 citations
A deep detection framework that integrates acoustic emission signals with hyperspectral images to address the limitations of single-modal characterization and susceptibility to noise interference in detecting drought stress in cotton is proposed.
Jing-Yao Zhang, Ke Wu, Yang Li et al.· IEEE Journal of Selected Top...· 0 citations
ABSTRACT Global agriculture is increasingly challenged by climate instability, genetic erosion, emerging pathogens and rising food demands, exposing the limitations of conventional breeding and traditional domestication strategies. Recent advances in CRISPR‐based genome editing, pangenomic, synthetic biology, artificia...
Muhammad Mubashar Zafar, H. Firdous, A. Siddiqua et al.· Plant Biotechnology Journal· 0 citations
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