The invention discloses a rice
seedling leaf age intelligent
identification system based on a depth camera, and belongs to the technical field of agricultural
intelligent equipment and
machine vision. Comprising a monitoring point gridding path planning module, a mechanical arm cooperative positioning
data acquisition module, an RGB-D data preprocessing module, a dynamic foreground
seedling accurate extraction module, a leaf age recognition confidence evaluation module, a leaf age
data visualization presentation module and an integrated control strategy feedback module. RGB color features and connected
domain analysis are combined to optimize a
mask, a front single
seedling is accurately segmented, background interference is eliminated, the confidence coefficient is dynamically calibrated through a
deep learning model and
image quality features, texture definition and edge continuity features are combined to generate calibrated confidence coefficient, confidence coefficient evaluation is directly associated with an agricultural decision, and the accuracy of the agricultural decision is improved. The leaf age result is generated only based on reliable data, the personnel rechecking demand is reduced, and the decision-making efficiency is improved.