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| Title | A Fully Automated Crop Disease Monitoring And Management System Based On Iot: Iot-Based Disease Identification For Banana Leaf |
|---|---|
| ID_Doc | 1835 |
| Authors | Seetharaman K. |
| Year | 2020 |
| Published | Deep Learning Applications and Intelligent Decision Making in Engineering |
| DOI | http://dx.doi.org/10.4018/978-1-7998-2108-3.ch008 |
| Abstract | In recent years, the IoT has evolved and plays a significant role in many fields like smart city, precision farm, traffic signal control system, and so on. In this chapter, an IoT-based crop disease management (CDM) system is proposed that adopts statistical methods for identifying disease, recognizing a right pesticide, and recommending a right pesticide to farmers. The proposed CDM system monitors the agricultural crops with the help of a CCD camera. The camera continuously photographs the crops and sends them to a Raspberry PI processor, which is placed at a workstation and it is connected to the camera with the help of IoT components. The proposed CDM system analyses the crop leaf images, such as removes noise; segments region of interest (RoI), that is, diseased part of the leaf image ; extracts features from the RoI; and identifies the disease and takes appropriate measures to control the disease. The proposed IoT-based CDM system was experimented, and the results obtained encourage both the farmers and the researchers in this field. © 2021 by IGI Global. All rights reserved. |
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