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A Review: Custard Apple Leaf Parameter Analysis and Leaf Disease Detection using Digital Image Processing

机译:综述:南美番荔枝叶参数分析和使用数字图像处理的叶病检测

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The custard apple is known as sugar-apple, sweetsop. It is known as sitafal in some state in India. Custard apple is high in energy and an excellent source of vitamin C and manganese. It also provides iron, phosphorus and potassium. This fruit has low cholesterol, sodium and saturated sodium, which is good for health. This paper gives a survey on leaf parameter analysis, detection of healthy, sick or affected region of the leaf and classification of leaf diseases by using different methods for various plant. It is crucial and difficult for human eyes to detect the exact type of leaf diseases by naked eyes. Each plant leaf has different symptoms of various diseases. The algorithm designed for one plant does not work accurately, with other plant's leaf. Specialized algorithms for the custard apple plant is required to detect leaf diseases along with the leaf parameter analyzer. To identify the custard apple leaf diseases accurately, image processing and machine learning techniques are helpful. Leaf area, length, width are some of the very important contributors in plant growth analysis and photosynthesis.
机译:南美番荔枝被称为糖苹果。在印度的某些州,它被称为西塔法尔。南美番荔枝能量很高,并且是维生素C和锰的极好来源。它还提供铁,磷和钾。这种水果的胆固醇,钠和饱和钠含量低,对健康有益。本文对各种植物采用不同的方法进行了叶片参数分析,叶片健康,患病或患病区域的检测以及叶片疾病分类的调查。人眼用肉眼检测出确切的叶子疾病类型是至关重要且困难的。每个植物叶子都有各种疾病的不同症状。为一种植物设计的算法无法与另一种植物的叶子一起正确工作。需要用于南美番荔枝植物的专门算法,以与叶片参数分析仪一起检测叶片疾病。为了准确地识别吉士叶病,图像处理和机器学习技术是有帮助的。叶面积,长度,宽度是植物生长分析和光合作用中非常重要的因素。

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