| Title: | OS15-7 Study on Plant Disease Detection Based on Near Field Acoustic Holography |
|---|---|
| Publication: | ICAROB2018 |
| Volume: | 23 |
| Pages: | 599-602 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2018.OS15-7 |
| Author(s): | Xiuqing Wang, Jiangfan Wang, Jimin Zhao, Qing Liu, Qi Chen |
| Publication Date: | February 2, 2018 |
| Keywords: | Disease detection, Near-field acoustic holography, Statistical best, Distribution source boundary point method |
| Abstract: | In the process of crop cultivation, pests and diseases have the most obvious impact on crop growth, yield and quality. In order to quickly and effectively prevent pests and diseases, real-time understanding of crop growth, in order to reasonably accurately and accurately spraying pesticides based on disease information is particularly important. The key to implementing precision spraying is accurate positioning of crop diseases. In this paper, the main stem of plant is taken as the research object. Through the acquisition of acoustic emission signal, the acoustic field model of disease stress is established based on near-field acoustic holography, and the sound field of three-dimensional space is reconstructed by algorithm to analyze the sound field of the sound source. Identify the plant's sound source signals, locate the sound source location, make an effective judgment of the plant damage status, determine the disease situation, and establish the optimal control strategy. |
| PDF File: | https://alife-robotics.co.jp/members2018/icarob/data/html/data/OS_pdf/OS15/OS15-7.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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