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Network Robot Tractors Associating with Human

与人类联动的网络机器人拖拉机

基本信息

批准号：
14206029
负责人：
TERAO Hideo
金额：
$ 34.2万
依托单位：
HOKKAIDO UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (A)
财政年份：
2002
资助国家：
日本
起止时间：
2002 至 2005
项目状态：
已结题

项目摘要

Agricultural remote sensing typically uses broadband multi-spectral images, which have a spectral range from visible to near infrared. A satellite imaging system has the distinct disadvantage of a large time delay between image acquisition and end use. Re-examination of a field using satellite imagery often requires more time than what is desired due to the repeat cycle of the satellite ; particularly when using remote sensing to assess the condition of short maturity crops such as lettuce. In addition to the temporal resolution being less than desirable, the spatial resolution of satellite images is relatively poor. Water vapor in the atmosphere often affects the apparent spectral radiance incident at the sensor ; consequently, it is often impossible to use remote sensing information in cloudy or overcast conditions. To solve these problems, we developed a remote sensing system based on an unmanned helicopters as a tool for crop status sensing. They can offer significant solutions to the drawbacks associated with other remote sensing methods. The helicopter can compensate for the lack of spatial resolution due to its capacity for low altitude flight. In addition, helicopter-base remote sensing systems could have a high timeliness value. In addition, the 3-D image mapping algorithm was also developed. As an application for the integrated remote-sensing system, a combine-harvesting system by estimating wheat maturity has been developed. Effectiveness of the system was proved by conducting a field test in "Tokachi" area.

农业遥感通常使用宽带多光谱图像，其光谱范围从可见光到近红外。卫星成像系统具有在图像获取和最终使用之间的大的时间延迟的明显缺点。由于卫星的重复周期，使用卫星图像重新检查田地通常需要比预期更多的时间;特别是在使用遥感评估生菜等短熟作物的状况时。除了时间分辨率不理想之外，卫星图像的空间分辨率也相对较差。大气中的水蒸气经常影响入射到传感器的表观光谱辐射亮度;因此，在多云或阴天条件下通常不可能使用遥感信息。为了解决这些问题，我们开发了一种基于无人直升机的遥感系统作为农作物状态传感的工具。它们可以为解决与其他遥感方法相关的缺点提供重要的解决方案。直升机可以弥补由于其低空飞行能力而缺乏空间分辨率。此外，以卫星为基础的遥感系统可具有很高的及时性价值。此外，还开发了三维图像映射算法。作为综合遥感系统的一个应用，研制了一套小麦成熟度联合收获系统。通过在“十胜”地区进行的现场试验，证明了该系统的有效性。