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Md. Mahbubur Rahman
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  • Projects
    • CLFM: climate-informed representation learning
    • TAHAF: RGB-D plant phenotyping
    • Temporal amodal leaf completion
  • Talks
    • Attention-Based Task-Adaptive Fusion for Real-Time RGB-D Lettuce Morphological Analysis
  • Selected publications
    • TAHAF: Trait Adaptive Hierarchical Attention Fusion of RGB-D data for automated lettuce phenotyping in hydroponic systems
    • FruitsMultiNet: Deep neural network for fruit identification through multi-scale feature fusion
    • FruVeg_MultiNet: A hybrid deep learning-enabled IoT system for fruit and vegetable identification
    • Smart farming: Leveraging IoT and deep learning for sustainable tomato cultivation and pest management
    • AirNet: Predictive machine learning model for air quality forecasting
    • Hybrid feature fusion and CNN for melanoma skin cancer detection
    • BreastMultiNet: Multi-scale feature fusion for breast cancer detection
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    • Tensors and shapes
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    • Working with RGB-D observations

Smart farming: Leveraging IoT and deep learning for sustainable tomato cultivation and pest management

Nov 2024·
M. R. Hasan
,
Md. Mahbubur Rahman
,
F. Shahriar
,
S. I. Khan
,
K. M. Uddin
· 0 min read
Google Scholar
Type
Journal article
Publication
Crop Design
publications
Last updated on Nov 2024
← FruVeg_MultiNet: A hybrid deep learning-enabled IoT system for fruit and vegetable identification Mar 2025
AirNet: Predictive machine learning model for air quality forecasting Oct 2024 →

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