CROP DISEASE RECOGNITION AND YIELD ESTIMATION

In an embodiment， a method of real-time disease recognition in a crop field is disclosed. The method comprises causing a camera to continuously capture surroundings to generate multiple images. The method further comprises causing a display device to continuously display the multiple images as the multiple images are generated. In addition， the method comprises processing each of one or more of the multiple images. The processing comprises identifying at least one of a plurality of diseases and calculating at least one disease score associated with the at least one disease for a particular image; causing the display device to display information regarding the at least one disease and the at least one disease score in association with a currently displayed image; receiving input specifying one or more of the at least one disease; and causing the display device to show additional data regarding the one or more diseases， including a remedial measure for the one or more diseases. In an embodiment， a method of real-time disease recognition in a crop field is disclosed. The method comprises causing a camera to continuously capture surroundings to generate multiple images. The method further comprises causing a display device to continuously display the multiple images as the multiple images are generated. In addition， the method comprises processing each of one or more of the multiple images. The processing comprises identifying at least one of a plurality of diseases and calculating at least one disease score associated with the at least one disease for a particular image; causing the display device to display information regarding the at least one disease and the at least one disease score in association with a currently displayed image; receiving input specifying one or more of the at least one disease; and causing the display device to show additional data regarding the one or more diseases， including a remedial measure for the one or more diseases.

在一个实施例中，公开了一种农田实时病害识别方法。该方法包括控制摄像头持续采集场景以生成多幅图像；进一步包括在生成多幅图像的同时，控制显示设备同步展示该系列图像。此外，该方法包括对多幅图像中的一幅或多幅进行处理：该处理步骤包括从多种候选病害中识别出至少一种目标病害，并针对单幅特定图像计算与该至少一种目标病害相关的病害评分；控制显示设备将该至少一种目标病害的相关信息及对应病害评分与当前显示的图像关联展示；接收用于指定上述至少一种目标病害中一种或多种病害的输入；并控制显示设备展示该一种或多种病害的额外数据，包括针对该一种或多种病害的防治措施。
在一个实施例中，公开了一种农田实时病害识别方法。该方法包括控制摄像头持续采集场景以生成多幅图像；进一步包括在生成多幅图像的同时，控制显示设备同步展示该系列图像。此外，该方法包括对多幅图像中的一幅或多幅进行处理：该处理步骤包括从多种候选病害中识别出至少一种目标病害，并针对单幅特定图像计算与该至少一种目标病害相关的病害评分；控制显示设备将该至少一种目标病害的相关信息及对应病害评分与当前显示的图像关联展示；接收用于指定上述至少一种目标病害中一种或多种病害的输入；并控制显示设备展示该一种或多种病害的额外数据，包括针对该一种或多种病害的防治措施。

搜集汇总

背景与挑战

背景概述

该数据集提供了一种实时作物病害识别和产量估计的方法，通过图像处理和病害评分技术，帮助识别作物病害并提供补救措施。数据集属于植物学领域，数据质量优良，适用于全球范围内的作物病害研究。