Kinect-Based Real-Time Acquisition Algorithm of Crop Growth Depth Images

Shan Hua, Minjie Xu, Zhifu Xu, Hongbao Ye and Cheng quan Zhou

Mathematical Problems in Engineering, 2021, vol. 2021, 1-9

Abstract:

Kinect 3D sensing real-time acquisition algorithm that can meet the requirements of fast, accurate, and real-time acquisition of image information of crop growth laws has become the trend and necessary means of digital agricultural production management. Based on this, this paper uses Kinect real-time image generation technology to try to monitor and study the depth map of crop growth law in real time, use Kinect to obtain the algorithm of crop growth depth map, and conduct investigation and research. Real-time image acquisition research on crop growth trends provides a basis for in-depth understanding of the application of Kinect real-time image generation technology in research. Kinect image real-time acquisition algorithm is a very important information carrier in agricultural information engineering. The research results show that the real-time Kinect depth image acquisition algorithm can obtain good 3D image data information and can provide valuable data basis for the 3D reconstruction of the later crop growth model, growth status analysis, and real-time monitoring of crop diseases. The data shows that, using Kinect, the real-time feedback speed of crop growth observation can be increased by 45%, the imaging accuracy is improved by 37%, and the related operation steps are simplified by 30%. The survey results show that the crop yield can be increased by about 12%.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:3913575

DOI: 10.1155/2021/3913575

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