Application of Image Processing Techniques in Agricultural Remote Sensing UAVs

This study aims to explore the application of image processing techniques in agricultural remote sensing UAVs to improve the accuracy and usability of agricultural remote sensing data. Through literature review and empirical research, the current application status, advantages, and challenges of image processing techniques in agricultural remote sensing UAVs were systematically studied. The study first analyzed and summarized the principles and characteristics of image processing techniques, and then conducted case studies and field investigations on their specific applications in image preprocessing, feature extraction, and image classification. The research results show that image processing techniques have high accuracy and usability in agricultural remote sensing UAVs, enabling the extraction of agricultural features and identification of crop diseases. However, challenges such as complex data processing, diverse method selection, and algorithm optimization still exist in the application of image processing techniques in agricultural remote sensing UAVs. The findings of this study have important implications for guiding the application and promotion of image processing techniques in agricultural remote sensing UAVs.