基于LabVIEW的作物关键生长参数提取

Extraction of Crop Key Growth Parameters Based on LabVIEW

随着机器视觉技术的发展,图像处理技术在农业方面的应用越来越广,尤其是农作物检测.生长参数的提取是农作物检测的基础,也是重点.本文以LabVIEW及Vision图像处理工具包为平台,研究了作物在不同阶段下生长参数的提取方法.以番茄幼苗为例,通过图像处理和量化分级的方法,研究了幼苗阶段生长参数的提取方法.以油菜为例,研究了成长阶段生长参数的提取方法.通过HSI空间模型参数量化的方式,对植株的缺素情况进行分级,实例验证了方法的有效性和可行性.以图像处理为核心的作物生长参数提取方式将为数字化和智能化的农作物监测系统开发提供新思路.

With the development of machine vision technology,image processing technology applied in agriculture is widely used in agriculture,especially in crop detection.This paper studies the extraction methods of crop growth parameters at different stages based on LabVIEW and Vision image processing kit.Taking tomato seedlings as an example,it extracts the growth parameters of seedling stage by image processing and quantitative classification.Taking rapeseed as an example,it extracts the growth parameters of growth stage,and also classifies the plant deficiency by quantifying the parameters of HSI spatial model.The examples verify the effectiveness and feasibility of the method.The extraction method of crop growth parameters based on image processing will provide a new idea for the development of digital and intelligent crop monitoring system.