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%.
Highlights
With the continuous and rapid development of global agricultural informatization, digital modern agriculture has gradually developed into premature and become a new development trend of modern agriculture in China [1]. e digital modern agricultural system is an agricultural hightech system that integrates modern agricultural engineering science, environmental science, computer information technology, communication information technology and international network information technology, and many other modern scientific information technologies into one
E traditional main methods for monitoring the growth potential and morphological maps of other crops are obtained through cumbersome manual automatic measurement or using expensive laser image data collection and monitoring equipment, such as using CCD laser cameras, digital cameras, light wave image scanners, and binocular monitoring equipment [5]. erefore, in order to effectively solve some of the shortcomings of the above two traditional somatosensory monitoring experimental methods, the research project in this paper uses a self-developed indoor and outdoor somatosensory real-time game, human activity parts, and plant posture movements developed by Microsoft
Kinect supports real-time automatic detection and real-time picture transmission, and can automatically identify and complete a series of complex actions [7]. e base motor can drive the whole Kinect to rotate in the left and right direction at the same time, so that it has the important function of highspeed dynamic image capture. erefore, Kinect can possess the powerful transmission function of capturing color image, 3D light and depth image information at the same time, and sonic video signal [8]
Summary
With the continuous and rapid development of global agricultural informatization, digital modern agriculture has gradually developed into premature and become a new development trend of modern agriculture in China [1]. e digital modern agricultural system is an agricultural hightech system that integrates modern agricultural engineering science, environmental science, computer information technology, communication information technology and international network information technology, and many other modern scientific information technologies into one. As a main key technology research and development direction in the agricultural and food field of the current digital era, the monitoring technology of crop plant growth morphological changes has played an important leading role in the entire development process of agricultural food production in China [3]. It is an overview of Kinect network construction, Kinect network modification, Kinect data filtering application program, and further discussion and application prospects of real-time acquisition algorithm of Kinect depth image It has obtained good three-dimensional image data information and can provide valuable information for the three-dimensional reconstruction of crop growth models, analysis of growth status, and real-time monitoring of diseases and insect pests (data basis)
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