Plant disease detection for banana using long range wide area network

J. Blessy Annie Flora; S. Radha; R. Hemalatha; S. Aasha Nandhini

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Plant disease detection for banana using long range wide area network

机译：使用远程广域网的香蕉植物疾病检测

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Agriculture is the backbone of India and nearly 70% of the people in the country depend on agriculture. These agricultural practices need to be transformed to overcome the negative impact of yield losses in real-time. A major threat to crop production is plant diseases. With the use of long-range wide area network (LoRaWAN), it is possible to connect the sensor nodes deployed in the agriculture field over a long distance. In this paper, a low-cost plant disease detection of the banana field using LoRaWAN is proposed to deploy IoT-based network for environmental monitoring. LoRaWAN is used for monitoring the environmental parameters of the field to predict the diseases affected in the banana plant. The affected disease information is transmitted using LoRaWAN for covering long distances in the field. Using the things network (TTN) cloud service and the Ubidots dashboard the data are analysed and notification given to the farmers.

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来源
《International Journal of Security and Networks》 |2021年第2期|共6页
作者
J. Blessy Annie Flora; S. Radha; R. Hemalatha; S. Aasha Nandhini;
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作者单位

Department of Electronics and Communication Engineering Sri Sivasubramaniya Nadar College of Engineering Kalavakkam;

Department of Electronics and Communication Engineering Sri Sivasubramaniya Nadar College of Engineering Kalavakkam;

Department of Electronics and Communication Engineering Sri Sivasubramaniya Nadar College of Engineering Kalavakkam;

Department of Electronics and Communication Engineering Sri Sivasubramaniya Nadar College of Engineering Kalavakkam;

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原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
LoRaWAN; Black Sigatoka; bunchy top of banana; smart agriculture; the things network; TTN;

机译：洛拉瓦;黑色西格坦;Bunana的Bunchy Top;聪明的农业;东西网络;TTN;

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Plant disease detection for banana using long range wide area network

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