Title: Plant disease detection for banana using long range wide area network

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

Addresses: Department of Electronics and Communication Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Tamil Nadu-603110, India ' Department of Electronics and Communication Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Tamil Nadu-603110, India ' Department of Electronics and Communication Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Tamil Nadu-603110, India ' Department of Electronics and Communication Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Tamil Nadu-603110, India

Abstract: 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.

Keywords: LoRaWAN; Black Sigatoka; bunchy top of banana; smart agriculture; the things network; TTN.

DOI: 10.1504/IJSN.2021.116778

International Journal of Security and Networks, 2021 Vol.16 No.2, pp.129 - 134

Received: 13 Aug 2020
Accepted: 03 Oct 2020

Published online: 23 Jul 2021 *

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