Smart Communication System for Agriculture

Pranit Kolhe, Aniket Baseshankar, Mansi Murekar, Shubham Sadhankar, Kamlesh Kalbande, A. Deshmukh
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引用次数: 5

Abstract

Tomato Plant disease affects the yield of the tomato. The farmers must spot agricultural conditions. The standard knowledge augmentation strategies, like revolve, turn over, and move having severely restricted, cannot win satisfactory results to boost the identification of tomato leaf diseases. The new method shows tomato leaf disease on a mobile application operated by a farmer at any distance. A robot will roam around the farm, scan the plant, and display output. To extract the disease from the leaf surface, here we include the ten most common diseases Bacterial, Early blight, healthy spot, and on.
农业智能通信系统
植株病害影响番茄的产量。农民必须了解农业状况。旋转、翻转、移动等标准的知识增强策略受到了严重的限制,在提高番茄叶病的鉴定上不能取得满意的效果。这种新方法可以在任何距离的农民操作的移动应用程序上显示番茄叶片疾病。一个机器人将在农场周围漫游,扫描工厂,并显示输出。为了从叶片表面提取病害,这里我们包括了10种最常见的病害:细菌性、早疫病、健康斑病和枯病。
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