Abstract

The real-time decision support system can enhance the crop or plant growth, therefore, increasing their productivity, quality, and economic value. This also helps us in serving the nature by supervising the plant growth in balancing the environment. Computer vision techniques have proven to play an important role in the number of applications like medical, defense, agriculture, remote sensing, business analysis, etc. The use of digital image processing methods for simulating the visual capability of the human being has proven to be a dynamic feature in smart or precision agriculture. This concept has provided with the automatic preventing and monitoring of plants, cultivation, disease management, water management etc. to increase the crop productivity and quality. In this paper, we have surveyed the number of articles that adopt the concept of computer vision and soft computing methods for the identification and classification of diseases from the leaf of the plant. Our aim is to present the state of the art of the concepts, applications, and theories associated with the digital image processing and soft computing methodologies. The various outcomes have been discussed separately.

中文翻译：

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计算机视觉在植物病理学中的应用：一项调查

摘要

实时决策支持系统可以增强作物或植物的生长，从而提高其生产力，质量和经济价值。通过监督植物生长以平衡环境，这也有助于我们为自然服务。实践证明，计算机视觉技术在医疗，国防，农业，遥感，商业分析等许多应用中起着重要作用。事实证明，使用数字图像处理方法来模拟人类的视觉能力智能或精准农业中的动态功能。该概念提供了植物的自动预防和监控，栽培，疾病管理，水管理等功能，以提高农作物的产量和质量。在本文中，我们调查了许多采用计算机视觉和软计算方法来识别和分类植物叶片疾病的文章。我们的目标是介绍与数字图像处理和软计算方法有关的概念，应用和理论的最新发展。各种结果已分别讨论。