Nutrient Deficiency Diagnosis of Plants Based on Transfer Learning and Lightweight Convolutional Neural Networks MobileNetV3-Large-Reference-Cited by-同舟云学术

Nutrient Deficiency Diagnosis of Plants Based on Transfer Learning and Lightweight Convolutional Neural Networks MobileNetV3-Large

Published:2022-11-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition
language:
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Author:

Yan Qian¹^ORCID,Lin Xuhong¹^ORCID,Gong Wenwen¹^ORCID,Wu Caicong¹^ORCID,Chen Yifei¹^ORCID

Affiliation:

1. College of Information and Electrical Engineering, China Agricultural University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581807.3581812

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2. Impacts of land use, population, and climate change on global food security

3. A Review of Plant Phenotypic Image Recognition Technology Based on Deep Learning

4. Chlorophyll fluorescence as a tool for nutrient status identification in rapeseed plants

5. Rapid diagnosis of tomato NPK nutrition level based on hyperspectral technology;Hongyu L;Transactions of the Chinese Society of Agricultural Engineering, 31.,2015

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