Detection of biotic and abiotic stresses in crops by using hierarchical self organizing classifiers
Detection of biotic and abiotic stresses in crops by using hierarchical self organizing classifiers
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DOI：
10.1007/s11119-017-9507-8
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发表时间：
2017-06-01
影响因子：
6.2
通讯作者：
Bochtis, Dionysios
中科院分区：
文献类型：
--
作者：
Pantazi, Xanthoula Eirini;Moshou, Dimitrios;Bochtis, Dionysios
高光谱特征可以提供有关作物健康状况的丰富信息，但很难区分生物和非生物胁迫。在这项研究中，同时发生的情况下，锈病的症状和氮胁迫进行了调查，利用高光谱特征从地面高光谱成像系统。健康和患病植物冠层的高光谱图像是由英国Rothamsted研究所的Specim V10光谱仪拍摄的。利用20 nm宽的五个波段准确识别每种胁迫和健康植物条件。该技术的开发使用了一种混合的分类方案，包括分层自组织分类器。三种不同的架构被认为是：对向传播人工神经网络，监督Kohonen网络（SKN）和XY融合。共收集了12120个光谱。其中3 062例（25.3%）用于检测。生物和非生物胁迫鉴定的结果似乎是有希望的，达到95%以上的所有三个架构。所提出的方法旨在基于传感器检测患病和胁迫植物，以便可以根据特定植物的需要进行现场处理，从而有助于更有效和精确地施用肥料和杀真菌剂。
Hyperspectral signatures can provide abundant information regarding health status of crops; however it is difficult to discriminate between biotic and abiotic stress. In this study, the case of simultaneous occurrence of yellow rust disease symptoms and nitrogen stress was investigated by using hyperspectral features from a ground based hyperspectral imaging system. Hyperspectral images of healthy and diseased plant canopies were taken at Rothamsted Research, UK by a Specim V10 spectrograph. Five wavebands of 20 nm width were utilized for accurate identification of each of the stress and healthy plant conditions. The technique that was developed used a hybrid classification scheme consisting of hierarchical self organizing classifiers. Three different architectures were considered: counter-propagation artificial neural networks, supervised Kohonen networks (SKNs) and XY-fusion. A total of 12 120 spectra were collected. From these 3 062 (25.3%) were used for testing. The results of biotic and abiotic stress identification appear to be promising, reaching more than 95% for all three architectures. The proposed approach aimed at sensor based detection of diseased and stressed plants so that can be treated site specifically contributing to a more effective and precise application of fertilizers and fungicides according to specific plant's needs.