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引用次数: 0

摘要

树叶的分类在农业和阿育吠陀中起着至关重要的作用。该领域的大部分研究都依赖于植物形态学。在植物的不同部分中,叶子很容易定位,数量丰富,并且在其一生中都会发生。植物病害检测、杂草管理和植物缺陷检测是叶片分类研究的重点领域。大小,颜色和形状可能会因地理条件和季节变化而变化。因此,对叶子进行分类是一项乏味的任务。在过去的几年里,已经衍生出了不同的方法。本文详细研究了各种最新技术及其面临的挑战。还讨论了不同方法在准确性方面的比较。
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Approaches for Plant Leaf Classification: A Review
Classification of leaves play a vital role in agriculture and Ayurveda. Majority of the research in this field depends upon plant morphology. Among the different parts of the plant, leaves are easy to locate, abundant and occur throughout their lifetime. Plant disease detection, weed management and plant deficiency detection are a few research areas that focus on leaf classification. The size, color and shape may vary depending on geographical conditions and seasonal changes. Hence, classification of leaves is a tedious task. Different approaches have been derived in the last few years. In this paper, various state-of-the-art techniques and their challenges are studied in detail. Comparisons of different approaches in terms of accuracy have also been discussed.
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