基于机器视觉的无人机油菜长势调查研究

Investigation on the Growth of Rape Based on Machine Vision

精准农业以实时准确地获得作物生长信息为前提,可精确调控各种环境因素,促进农业物资合理利用和实现高产。在各种生长信息中,作物长势相关的参数是研究的重点。基于无人机的作物长势调查能够适应农田的复杂环境,在作业效率和降低成本上也有明显的优势。为此,开发了基于机器视觉的油菜长势调查方法,利用无人机搭载数码相机拍摄油菜图像,经过机器视觉分析处理后区分不同生育时期的油菜。以H分量值作为与生物量相关的特征参数,用于反映油菜的长势。在实际的应用中,建模样本的H值与实测生物量之间存在极显著的相关性,建立的模型准确计算出检验样本的生物量,为油菜的长势调查和产量预测提供了依据。

Precision agriculture is based on the premise of obtaining crop growth information in real time.After analysis,it can accurately control various environmental factors,promote the rational use of agricultural materials and achieve high yield.Among the various growth information,the parameters related to crop growth are the focus of research.Crop-based surveys based on drones can adapt to the complex environment of farmland and have significant advantages in terms of operational efficiency and cost.In this paper,a method based on machine vision for the growth of rapeseed is developed.The image of rapeseed is taken by a drone equipped with a digital camera.After the machine vision analysis,the rapeseed of different growth stages is distinguished.The H component value is used as a characteristic parameter related to biomass to reflect the growth of rapeseed.In practical applications,there is a very significant correlation between the H value of the modeled sample and the measured biomass.The established model accurately calculates the biomass of the test sample,which provides a basis for the growth survey and yield prediction of rapeseed.