The project aims to develop a Visual Autonomous Navigation Network (VANNet) for ground robots to navigate unstructured agricultural fields, and a Crop Health Monitoring Network (CHMNet) for detecting diseases and pests. An adjustable sensing platform enables cameras to capture crop and field images from varying angles and distances for precise under-canopy monitoring.
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