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Haidar Almubarak on Muck Rack

Haidar Almubarak

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Articles

Towards precision agriculture for assessing germination rates and density of rice seedling using hierarchical convolutional neural network on drone imagery

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By Eatedal Alabdulkreem, Nuha Alruwais, Hatim Dafaalla, Achraf Ben Miled, Saad Alowayyed, Haidar Almubarak, Nouf Atiahallah Alghanmi
| Nature Verified
Abstract Rice is a significant food that plays a vital part in delivering nutrition to the world’s population. Hence, approaches for assessing rice yield have received considerable study. The amount of rice seedlings (density) is a main agronomic module. It is related to harvest and also plays a significant part in the survival rate. Unmanned Aerial Vehicles (UAVs) are prepared with lightweight sensors, which creates a substantial effect in the field of crop phenotyping.
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