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Více informací o knize Deep Learning for Agricultural Visual Perception

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Anotace knihy

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 disease dataset was constructed to provide necessary data support for the deep learning module. Various schemes for identifying and detecting large-scale crop diseases and pests based on deep convolutional neural network technology have also been proposed. This book can be used as a reference for teachers and students majoring in agriculture, computer science, artificial intelligence, intelligent science and technology, and other related fields in higher education institutions. It can also be used as a reference book for researchers in fields such as image processing technology, intelligent manufacturing, and high-tech applications.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Deep Learning for Agricultural Visual Perception
• Podnázev: Crop Pest and Disease Detection
• Autor: Rujing Wang, Lin Jiao, Kang Liu
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 190
• EAN: 9789819949724
• ID: 43801891
• Nakladatelství: Springer, Berlin
• Hmotnost: 381 g
• Rozměry: 235 × 155 mm
• Datum vydání: 21. September 2023

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