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Design and Realization of Image Database of Pitaya Disease

机译:筏疾病图像数据库的设计与实现

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With the expansion of cultivation scale,pitaya diseases are gradually increasing.Traditionally relying on human observation to judge the disease is limited by the skills and experience of the observer,which cannot guarantee the accuracy and real-time of the judgment,and consumes much manpower and time.In this study,by collecting,segmenting,and labeling images of 4 main diseases of pitaya in the field,an image database of main diseases of pitaya in the field was constructed to provide a basis for computer image recognition of pitaya diseases.Thereby,it benefits reducing manual error and improving the accuracy and real-time of disease identification for agricultural production,but also lays a foundation for the future development of intelligent agriculture.
机译:随着培养量表的扩大,北斗疾病逐渐增加。依靠人类观察,判断疾病的观察者的技能和经验受到了观察者的技能和经验,这不能保证判决的准确性和实时,并消耗太多人力和时间。本研究通过收集,分割和标记该领域筏的4个主要疾病的图像,构建了该领域筏的主要疾病的图像数据库,为计算机图像识别筏疾病提供了基础。由此,它有利于减少手工误差,提高农业生产疾病鉴定的准确性和实时,而且还为智能农业的未来发展奠定了基础。

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