【摘要】 本文应用图像的灰度识别、二值化处理以及拉普拉斯边缘检测算法处理采集到的农作物叶片图像,使用阈值方法 Otus进行图像分割，高效、准确地计算出农作物叶片面积。并结合Windows和Android系统实现了电脑端和手机端的系统呈现，大大改进了传统叶片面积测量方法。其中，基于Android系统的智能端图像获取清晰，使用便捷，数据可靠性高，为随时进行农作物叶片测量提供精准依据。更多还原

【Abstract】 In this paper, the collected crop leaf images are processed by using gray recognition, binary processing and Laplace edge detection algorithm. The threshold method Otus is used for image segmentation to calculate the crop leaf area efficiently and accurately. Combined with Windows and Android system, the system presentation of computer and mobile phone is realized, which greatly improves the traditional leaf area measurement method. Among them, the intelligent terminal based on Android system has clear image acquisition, convenient use and high data reliability, which provides an accurate basis for crop leaf measurement at any time.更多还原