Identification of Paddy Crop Diseases Using D...

Identification of Paddy Crop Diseases Using Drone Technology

Author Name : Pranob Kumar Charles, Siva Gandeti, Vijay Syam Devarakonda, Satwik Kodali

ABSTRACT

Rice is the most important food crop in the world and feeding more people than any othercrop.However Brown spot, Bacterial blight and Rice blast diseases are key factors for rice production, usually caused by Xanthomonas oryzae pv. oryzae, Fungus, Bacteria, Rain fall, upland and etc., In this paper we  propose a computer vision system to detect the rice diseases in the field using images captured by the unmanned aerial vehicle APM 2.8 flight control model. The proposed system is based on the Support Vector Machine Classifier(SVM) with that we can classify the the diseases of rice crop  based on the color, shape, and texturing. Our methodology evaluated performance of three parameters for different sizes of dateset. This is done by experimental and we get 93% better permanence  than KNN classifier.Results indicate that our approach can support experts and farmers to monitor diseases in rice fields at early stage. The aim of this paper to reduce the work load of farmer.

Keywords: Unmanned Aerial Vehicle(UAV), Rice crop diseases , Image processing, SVM.