基于图像识别的大豆生长环境智能车检测

Detection of Soybean Production Ambient Intelligence Vehicle Based on Image Recognition

近年来,大豆生产过程中由于偏重大量元素氮磷肥的施用,有机肥的施用逐渐减少,微量元素(锰、硼、锌、钼等)肥料施用更远远未引起足够重视,致使土壤中养分比例失调,微量元素严重缺乏。本文结合国内外微肥对于大豆生产状态的研究试验方法及其施用方法,研究如何实现大豆微生长环境对其植株生长全过程的实时检测方法,对于提高大豆品质及产量具有重要的研究意义,并指出了今后的研究方向。

In recent years,because of lay particular stress on a large number of elements in the process of soybean production of nitrogen application of phosphorus fertilizer,organic fertilizer applied gradually reduce,trace elements(such as manganese,boron,zinc,molybdenum)fertilizers more far did not cause enough attention,causing the soil nutrient imbalance,serious lack of trace elements.Combining with micronutrient fertilizer on soybean production status at home and abroad research method,test method and its application research how to implement the soybean growth environment for the growth process of real-time detectionmethods,to improve quality and yield soybean has important research significance,and points out the future research direction.