This paper will research how to separate plants (crop and weed) from complex roil background by applying machine vision technology, which is a prepared work for identifying weeds.
为此，就如何利用机器视觉技术从复杂的土壤背景下分离出植物(作物和杂草)的方法进行研究，从而为杂草的识别做前期准备工作。
On the field of agriculture and plant protection, weed identification technology in machine vision research at home and abroad has made part of the results.
在农业植保领域中，杂草识别在机器视觉技术的研究国内外已经取得了部分成果，绝大多数研究都集中在杂草植株的个体上。
Because it is a new research filed to apply computer vision for weed-sensing, there are not mature theories to support the weed-sensing technology.
计算机视觉技术用于杂草识别是一个相当新的研究应用领域，目前理论和技术尚不成熟。
The test research on dropping penetration process provides low pollution technology for agricultural facilities and points the production and application method of anti weed nonwovens.
本试验研究的滴渗法涂药工艺为设施农业提供了低污染技术，并提出了含除草剂非织造布的生产和使用技术规范。
The test research on dropping penetration process provides low pollution technology for agricultural facilities and points the production and application method of anti weed nonwovens.
本试验研究的滴渗法涂药工艺为设施农业提供了低污染技术，并提出了含除草剂非织造布的生产和使用技术规范。
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