Ata uhi

Deep Learning for Agricultural Visual Perception Crop Pest and Disease Detection /

This monograph provides a detailed and systematic introduction to the application of deep learning technology in the intelligent monitoring of crop diseases and pests. Taking 24 types of crop pests, wheat aphids, and wheat diseases with complex backgrounds as examples, a large-scale crop pest and di...

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I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Wang, Rujing (Author), Jiao, Lin (Author), Liu, Kang (Author)
Kaituhi rangatōpū: SpringerLink (Online service)
Hōputu: Tāhiko īPukapuka
Reo:Ingarihi
I whakaputaina: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Putanga:1st ed. 2023.
Ngā marau:
Artificial intelligence.
Image processing > Digital techniques.
Computer vision.
Machine learning.
Image processing.
Agriculture.
Artificial Intelligence.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computer Vision.
Machine Learning.
Image Processing.
Urunga tuihono:https://doi.org/10.1007/978-981-99-4973-1
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