Tomato Diseases and Pests Detection Based on Improved Yolo V3 Convolutional Neural Network

机译：基于改进的YOLO V3卷积神经网络的番茄疾病和害虫检测

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期刊名称 Frontiers in Plant Science
作者
Jun Liu; Xuewei Wang;
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作者单位

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年(卷),期 2020(-1),-1
年度 2020
页码 -1
总页数 12
原文格式 PDF
正文语种
中图分类情报学;
关键词

机译：深入学习;K-means;多尺度训练;小物体;物体检测;

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1. Detection of crop pests and diseases based on deep convolutional neural network and improved algorithm [J] . Franz Kurfess Computing reviews . 2021,第2期

机译：基于深卷积神经网络和改进算法的作物害虫和疾病检测
2. Identification of Tomato Disease Types and Detection of Infected Areas Based on Deep Convolutional Neural Networks and Object Detection Techniques [J] . Qimei Wang, Feng Qi, Minghe Sun, Computational intelligence and neuroscience . 2019,第4期

机译：基于深度卷积神经网络和物体检测技术的番茄疾病类型和感染区域检测的鉴定
3. Improved crossover based monarch butterfly optimization for tomato leaf disease classification using convolutional neural network [J] . Nandhini S., Ashokkumar K. Multimedia Tools and Applications . 2021,第12期

机译：利用卷积神经网络改进基于番茄叶疾病分类的基于交叉的帝王蝶形优化
4. Deep Structured Convolutional Neural Network for Tomato Diseases Detection [C] . Endang Suryawati, Rika Sustika, R. Sandra Yuwana, International Conference on Advanced Computer Science and Information Systems . 2018

机译：用于番茄病害检测的深度结构卷积神经网络
5. Linearizing Convolutional Neural Networks Improves P300 Detection [D] . Ravindran, Sriram. 2018

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6. Corrigendum to Identification of Tomato Disease Types and Detection of Infected Areas Based on Deep Convolutional Neural Networks and Object Detection Techniques [O] . Qimei Wang, Feng Qi, Minghe Sun, 2021

机译：基于深度卷积神经网络和物体检测技术鉴定番茄疾病类型和检测感染区域的勘探。
7. Agricultural Greenhouses Detection in High-Resolution Satellite Images Based on Convolutional Neural Networks: Comparison of Faster R-CNN, YOLO v3 and SSD [O] . Min Li, Zhijie Zhang, Liping Lei, 2020

机译：基于卷积神经网络的高分辨率卫星图像中的农业温室检测：更快的R-CNN，YOLO V3和SSD比较

Tomato Diseases and Pests Detection Based on Improved Yolo V3 Convolutional Neural Network

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