Planning pesticides usage for herbal and animal pests based on intelligent classification system with image processing and neural networks

Kamil Dimililer, Yoney Kirsal Ever, N. Bardis
2018 ITM Web of Conferences  
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
more » ... ain 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.
doi:10.1051/itmconf/20181601004 fatcat:yb4penka4jcprha3z6cwi7khlu