Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Deep Learning for Agricultural Visual Perception: Crop Pest and Disease Detection

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

Wang, Rujing
Jiao, Lin
Liu, Kang

Hardcover

Technology & EngineeringAgricultureProgramming

ISBN10: 9819949726
ISBN13: 9789819949724
Publisher: Springer Nature
Published: Sep 21 2023
Pages: 131
Weight: 0.84
Height: 0.38 Width: 6.14 Depth: 9.21
Language: English

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.

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