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Wireless multimedia sensor network for rape disease detections

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成果类型:
期刊论文
作者:
Zhou Libo;Huang Tian;Guan Chunyun*
通讯作者:
Guan Chunyun
作者机构:
[Guan Chunyun; Zhou Libo] Hunan Agr Univ, Coll Agr, Changsha 410128, Hunan, Peoples R China.
[Zhou Libo; Huang Tian] Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413002, Hunan, Peoples R China.
[Huang Tian] Hunan Engn Res Ctr Internet Anim, Changsha 410205, Hunan, Peoples R China.
通讯机构:
[Guan Chunyun] H
Hunan Agr Univ, Coll Agr, Changsha 410128, Hunan, Peoples R China.
语种:
英文
关键词:
Plant diseases;Object detection;Convolution neural networks;Filter banks;Rape diseases
期刊:
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
ISSN:
1687-1472
年:
2019
卷:
2019
期:
1
页码:
1-10
机构署名:
本校为第一且通讯机构
院系归属:
农学院
摘要:
In order to reduce pesticides, it is also necessary to understand how plant diseases originate in the beginning and to be around them all around the world. One of the best ways to achieve this goal is to promote images that are not visible to the world (WMSN) in an agricultural country. However, the sending of a wireless device with little knowledge of the images will add more traffic to traffic, especially electricity. In this pamphlet, we create a diagnostic procedure that is aimed at driving WMSN’s additional resources. From the study of th...

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