期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2019
卷号：7
期号：2
页码：926-930
DOI：10.15680/IJIRCCE.2019. 0702074
出版社：S&S Publications
摘要：Agricultural scientists play anvital role in distinguish and finding cure for plant infections. Sometimes
physical identification of disease is time consuming and difficult process. One of the most important factors paying to
low yield is disease attack. M5any studies show that value of agricultural products may be compact due to various
factors of plant illnesses. In banana plant, diseases which are commonly detected are panama wilt, yellow sigatoka,
black sigatoka, banana streak virus and banana bunchy top virus . The banana plant foliage diseases not only limit the
growth of the plant but also terminate the crop. Banana plant foliage diseases must be recognizedearly and exactly as it
can showharmful to the yield. Hence, ainstrument learning method is required to identify the unusual leaf images in
appropriate manner. The images required for this effort are taken from the fields using digital camera. The taken
images are then treated on computer using pattern recognition and digital image processing techniques. These systems
will help in categorizing banana plant diseases thereby cumulative the yield of banana. This a survey paper on disease
empathy and organization of banana yields. A summary of various methods for disease empathy and organization is
also done.
