Panoramic stitching based on drone images and plant identification in refinement agriculture

• Main Authors: Yi-Syuan Ye, 葉怡萱
• Other Authors: 黃乾綱
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/p432az

碩士 === 國立臺灣大學 === 工程科學及海洋工程學研究所 === 107 === No matter how the times progress, our lives are not related to food. From the past to the present, agriculture is an indispensable and important industry. In the past, farming has always been a work that relies heavily on manpower. In the past, a large number of people have been planting, cultivating, fertilizing, and even eliminating pests and spraying pesticides. Because of the characteristics of Asian terrain, Asian agricultural land is small and fragmented, and the cultivation methods in Asia are very different from those in Europe and America. The agricultural land in Asia is becoming denser, the agricultural land is broken, and the agricultural transformation is becoming more refined. In contrast, Europe and the Americas Wide, farmland is mainly broad and infinite. Advances in technology can already be replaced by machines. In the past, most of the research focused on satellite aerial photos, or panoramic views of natural streetscapes, to explore how images are stitched (Image Stitching), and how to use aerial snapshots (NDVI). In recent years, many aerial photographs have been taken using aerial cameras to analyze the quality of farming at various stages and how to monitor the stability of different farming stages. However, there is no analysis and discussion of aerial photography for low-altitude aerial cameras. The research goal is to shoot rice fields through aerial photography, use the images taken by the aerial camera to stitch and stitch out the panoramic view of the rice fields, and use the continuous rice field image to perform feature point comparison to mark the seedlings in the image. The goal of the research is to achieve the effect of automating the labeling of seedlings by splicing the overlay and marking, so as to reduce the problem of agriculture depending on the people, improve the quality of the rice cultivation by a large number of people, and shoot the rice fields at a fixed frequency of the aerial camera. The results of stitching and stitching in the rice field are subject to different observations and discussions, and the growth of rice fields can also be judged. In this study, the position of the continuous paddy field was spliced by the image of the aerial camera, and the feature points were compared with the continuous rice field image to mark the seedlings in the image. The goal of this study was to achieve automated labeling of seedlings by splicing the overlays and markers.