Real-time weed detection, decision making and patch spraying in maize, sugarbeet, winter wheat and winter barley
Real-time weed detection, decision making and patch spraying in maize, sugarbeet, winter wheat and winter barley
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DOI：
10.1046/j.1365-3180.2003.00349.x
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发表时间：
2003-12-01
期刊：
影响因子：
1.7
通讯作者：
Christensen, S
中科院分区：
文献类型：
--
作者：
Gerhards, R;Christensen, S
农田杂草苗期种群的时空变异信息对杂草种群的评估和管理具有重要意义。最重要的是，当出现后的除草剂只应用于杂草侵扰水平高于经济杂草阈值的田间地段时，它可以潜在地减少除草剂的使用；本文对这类工作进行了综述。本文介绍了甜菜、玉米、冬小麦等作物的定点除草系统。包括使用数字图像分析的在线杂草检测、基于计算机的决策和全球定位系统(GPS)控制的贴片喷洒。在一项为期4年的研究中，这种基于MAP的方法在冬季谷物中的除草剂使用量减少了60%，对阔叶草的除草剂减少了60%，对杂草的除草剂减少了90%。在甜菜和玉米中，除草剂在玉米和甜菜中的平均节约率分别为78%和36%。对于阔叶杂草的除草剂，玉米和甜菜分别节省了11%和41%。
Information on temporal and spatial variation in weed seedling populations within agricultural fields is very important for weed population assessment and management. Most of all, it allows a potential reduction in herbicide use, when post-emergence herbicides are only applied to field sections with weed infestation levels higher than the economic weed threshold; a review of such work is provided. This paper presents a system for site-specific weed control in sugarbeet (Beta vulgaris L.), maize (Zea mays L.), winter wheat (Triticum aestivum L.) and winter barley (Hordeum vulgare L.), including online weed detection using digital image analysis, computer-based decision making and global positioning systems (GPS)-controlled patch spraying. In a 4-year study, herbicide use with this map-based approach was reduced in winter cereals by 60% for herbicides against broad-leaved weeds and 90% for grass weed herbicides. In sugarbeet and maize, average savings for grass weed herbicides were 78% in maize and 36% in sugarbeet. For herbicides against broad-leaved weeds, 11% were saved in maize and 41% in sugarbeet.