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Showing 1 to 2 of 2 for “"Root Detection"”.

  1. Unsupervised learning of morphological forests

    … We evaluate our system on three tasks: root detection, clustering of morphological families and segmentation. Our experiments demonstrate that our model yields consistent gains in all three tasks compared with the best published results.

    mit Repository record for Unsupervised learning of morphological forests (opens in a new tab)

  2. SOFT WORM ROBOT: LOCOMOTION CHARACTERISTICS AND SENSING FOR AGRICULTURAL ROBOTICS

    … agricultural conditions and ensure healthy plant roots for higher yields through careful monitoring, it becomes necessary to install multiple sensors (such as temperature, humidity, and vision sensors) under the soil across vast farmland areas. However, the significant costs associated with …

    cornell Repository record for SOFT WORM ROBOT: LOCOMOTION CHARACTERISTICS AND SENSING FOR AGRICULTURAL ROBOTICS (opens in a new tab)