论文部分内容阅读
在早期发现并准确定位害虫,对其未来的发展趋势作出评价,可提高施药处方决策和综合防治的针对性和准确性。在作物虫害信息的获取中,传统的检测和监测方法不但耗时、费力,而且导致的预报滞后会进一步增加损失程度,很难较好地满足现代农业的精准生产要求。本文介绍了国内外学者在田间作物上开展害虫及其危害状况的机器检测和监测技术研究取得的进展,包括声特征检测法、雷达观测法、图像识别法以及光谱监测法等,讨论了现有技术的局限性,指出了未来作物虫害机器检测和监测技术的可能发展方向是采用多种技术相结合的组合式检测和监测方法,从多个角度获取特定虫害的相关信息,相互进行实证检验,以提高作物虫害机器检测和监测的精度及效率。
Identifying and accurately locating pests at an early stage and evaluating their future development trends can improve the relevance and accuracy of decision-making and integrated prevention and treatment of pesticide application. In the acquisition of crop pest information, the traditional detection and monitoring methods are not only time consuming and laborious, but also lead to the loss of forecasting lag will further increase, it is difficult to better meet the precise production requirements of modern agriculture. This paper introduces the progress made in the field of machine testing and monitoring techniques for insect pests and their damage on field crops by domestic and foreign scholars, including acoustic feature detection, radar observation, image recognition and spectral monitoring. The limitations of the technology are pointed out that the possible future development of the detection and monitoring technology for crop pest machines is based on the combined detection and monitoring methods which combine various technologies to obtain the relevant information of specific pests from multiple angles and carry out empirical tests with each other, To improve the accuracy and efficiency of crop pest machine testing and monitoring.