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Table 1 The number of sub-images used to constitute the training, validation, and testing datasets of the herbicide weed control spectrum neural networks

From: Deep learning for detecting herbicide weed control spectrum in turfgrass

Dataset Weeds susceptible to ACCase-inhibiting herbicides Weeds susceptible to synthetic auxin herbicides No herbicide
Crabgrass Dallisgrass Goosegrass Tropical signalgrass Dollarweed Old world diamond-flower Virginia buttonweed White clover Bermudagrass
Training 3000 3000 3000 3000 3000 3000 3000 3000 12,000
Validation 600 600 600 600 600 600 600 600 2400
Testing 600 600 600 600 600 600 600 600 2400
  1. The herbicide weed control spectrum neural networks were trained to detect and discriminate the sub-images containing weeds susceptible to ACCase-inhibiting herbicides, weeds susceptible to synthetic auxin herbicides, or bermudagrass turf exclusively (no herbicide)