| Autor: |
Zhou Libo, Huang Tian, Guan Chunyun |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
EURASIP Journal on Wireless Communications and Networking, Vol 2019, Iss 1, Pp 1-10 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
1687-1499 |
| DOI: |
10.1186/s13638-019-1468-3 |
| Popis: |
Abstract 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 the locally available nodes of the plants, this new technique can make the first choice on the vegetation of the plants, knowing how to send pictures to the control center to continue to explore, to move forward. Look at the Internet. The same method includes the distribution of images using color and shape, and its 2D profile is used as part of the stages. What happens on metal images and lack of food indicates that the correct route is 94.5%. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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