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Image Processing Technique for Automatic Detection of Plant Diseases and Alerting System in Agricultural Farms

机译:农业农场植物病害自动检测与预警系统的图像处理技术

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Farming is the foundation of Indian economy. In recent years, crop yield is not as expected because the plants are drastically affected by diseases. Hence the farmer has to apply the pesticides for the entire farm periodically. It not only results in wastage of manpower, money and time, but also in increase of toxic levels in vegetables. Consuming such vegetables effects both animal and human life. Hence it is necessary to obtain a balance between high yield and less toxic vegetables. It is possible only when pesticides are applied to disease affected plants. Owing to the large size of the farm, manual inspection is not possible. Hence it is necessary to develop an automated disease detecting and alerting system. The proposed system aims at developing image processing technique for disease detection and alerting. Steps involved in this are image acquisition, image processing, image segmentation, feature extraction, classification and disease categorization. After detecting the disease, it sends the alerts through the buzzer.
机译:农业是印度经济的基础。近年来,农作物的产量达不到预期,因为植物受到疾病的严重影响。因此,农民必须定期为整个农场施用农药。它不仅会浪费人力,金钱和时间,而且还会增加蔬菜中的有毒物质含量。食用这种蔬菜会影响动物和人类的生活。因此,有必要在高产和低毒蔬菜之间取得平衡。仅当将农药用于受病害的植物时才有可能。由于农场规模较大,因此无法进行人工检查。因此,有必要开发一种自动的疾病检测和警报系统。提出的系统旨在开发用于疾病检测和警报的图像处理技术。其中涉及的步骤是图像采集,图像处理,图像分割,特征提取,分类和疾病分类。在检测到疾病后,它将通过蜂鸣器发送警报。

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