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

Pradeep Kumar Mugithe, Rohit Varma Mudunuri, B. Rajasekar, S. Karthikeyan
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引用次数: 9

Abstract

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.
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农业农场植物病害自动检测与预警系统的图像处理技术
农业是印度经济的基础。近年来,由于植物受到病害的严重影响,作物产量不如预期。因此,农民必须定期为整个农场施用农药。这不仅浪费了人力、金钱和时间,而且还增加了蔬菜中的有毒物质。食用这类蔬菜对动物和人的生命都有影响。因此,有必要在高产和低毒蔬菜之间取得平衡。只有对患病的植物施用杀虫剂才有可能。由于农场规模大,人工检查是不可能的。因此,有必要开发一种自动化的疾病检测和预警系统。该系统旨在开发用于疾病检测和报警的图像处理技术。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,它通过蜂鸣器发送警报。
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