ITM Web Conf.
Volume 16, 2018AMCSE 2017 - International Conference on Applied Mathematics, Computational Science and Systems Engineering
|Number of page(s)||6|
|Published online||09 January 2018|
Planning pesticides usage for herbal and animal pests based on intelligent classification system with image processing and neural networks
Electric and Electronic Engineering Department, Near East University, North Cyprus, Mersin 10 Turkey
2 Software Engineering Department, Near East University, North Cyprus, Mersin 10 Turkey
* Corresponding author: email@example.com
Pests are divided into two as herbal and animal pests in agriculture, and detection and use of minimum pesticides are quite challenging task. Last three decades, researchers have been improving their studies on these manners. Therefore, effective, efficient, and as well as intelligent systems are designed and modelled. In this paper, an intelligent classification system is designed for detecting pests as herbal or animal to use of proper pesticides accordingly. The designed system suggests two main stages. Firstly, images are processed using different image processing techniques that images have specific distinguishing geometric patterns. The second stage is neural network phase for classification. A backpropagation neural network is used for training and testing with processed images. System is tested, and experiment results show efficiency and effective classification rate. Autonomy and time efficiency within the pesticide usage are also discussed.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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