This review examines the evolution of plant phenotyping from conventional manual trait measurement to high-throughput, robotic, and artificial intelligence-driven crop monitoring. Despite significant advances in imaging, autonomous platforms, multimodal sensing, and deep learning, current phenotyping systems remain fra...
M. Owais, Ehtesham Iqbal, Samee Ullah Khan et al.· 0 citations
Blueberry ripeness is judged by berry colour, cluster composition, and the distribution of maturity stages within a plant, however, public green house image resources with dense ripeness-stage masks remain limited. We present AerialYield-B2D, where B2D denotes BlueBerry Dataset, acurated real-image resource containing...
I. I. Ganapathi, Afeefa Azam, Muhammad Owais et al.· 0 citations
This review provides a unified framework for understanding the evolution of volumetric medical imaging and offers actionable insights for researchers, clinicians, and industry practitioners, contributing to the development of reliable, interpretable, and clinically deployable next-generation medical AI systems.
Muhammad Owais, Muhammad Zubair, Daniya Najiha Abdul Kareem et al.· Archives of Computational Me...· 9 citations· ⚡1
A semantic attention-driven retrieval framework based on a lightweight Meta-Domain Adaptive Segmentation Network (MDA-SN) with an adaptive data normalization strategy to enhance infection detection in cross-dataset analysis and achieves real-time execution.
Muhammad Owais, Taimur Hassan, Naqash Afzal et al.· Scientific Reports· 1 citation
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