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Practical experiences with a system for site-specific weed control in arable crops using real-time image analysis and GPS-controlled patch spraying.

机译:使用实时图像分析和GPS控制的斑块喷洒技术对可耕作物中的特定地点杂草进行控制的系统的实践经验。

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Information on temporal and spatial variation in weed seedling populations within agricultural fields is very important for weed population assessment and management. Primarily, spatial information allows a potential reduction in herbicide use, when post-emergent herbicides are only applied to field sections with high weed infestation levels. This paper presents a system for site-specific weed control in sugar beet, maize, winter wheat, winter barley, winter rape and spring barley. The system includes on-line weed detection using digital image analysis, computer-based decision making and Global Positioning System-controlled patch spraying. In a 2-year study, herbicide use with this map-based approach was reduced in winter cereals by 6-81% for herbicides against broad leaved weeds and 20-79% for grass weed herbicides. Highest savings were achieved in cereals followed by sugar beet, maize and winter rape. The efficacy of weed control varied from 85% to 98%, indicating that site-specific weed management will not result in higher infestation levels in the following crops..
机译:农业领域内杂草幼苗种群的时空变化信息对于杂草种群评估和管理非常重要。首先,当发芽后除草剂仅用于杂草侵染水平高的田间区域时,空间信息可以减少除草剂的使用。本文提出了一种用于甜菜,玉米,冬小麦,大麦,冬油菜和大麦的定点除草系统。该系统包括使用数字图像分析的在线杂草检测,基于计算机的决策制定以及全球定位系统控制的斑块喷洒。在一项为期两年的研究中,使用这种基于地图的方法的除草剂在冬季谷物中对阔叶杂草的除草剂减少了6-81%,对草杂草除草剂的使用减少了20-79%。谷物的节省最高,其次是甜菜,玉米和冬季油菜。杂草控制的功效从85%到98%不等,这表明特定地点的杂草管理不会在随后的作物中导致更高的侵害水平。

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