Abstract
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.
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