植物病害分析用MATLAB图像处理

H. Krishnan, P. K., G. M, M. N, S. Vijayananth, P. Sudhakar
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引用次数: 6

摘要

植物病害的鉴定是园艺学研究的难点。如果可识别的证据是错误的,那么在收益率的产生和市场的有效估计上就会出现巨大的不幸。叶片侵染的识别不仅需要大量的工作和植物病害信息,而且还需要额外的准备时间。因此,我们可以在MATLAB中利用图像处理来识别叶片感染的证据。疾病的识别证明采用图片叠加、差异化升级、RGB转HSI、高光提取和SVM等手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Plant disease analysis using image processing in MATLAB
Recognizable proof of plant ailment is troublesome in horticulture field. In the event that recognizable proof is mistaken, at that point there is an enormous misfortune on the generation of yield and efficient estimation of market. Leaf infection recognition requires tremendous sum of work, information in the plant sicknesses, and furthermore require the additionally preparing time. So we can utilize picture handling for recognizable proof of leaf infection in MATLAB. Recognizable proof of ailment pursues the means like stacking the picture, differentiate upgrade, changing over RGB to HSI, extricating of highlights and SVM.
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