Hybrid Embedded System Design For Real Time Monitoring The Growth and Detection Of Diseases in Oryza Sativa L and Triticum Aestivum

R Maheswaran¹, S Muruganand², C Hemalatha³

^1,2,3Bharathiar University

Abstract

In recent days, world population is incredibly growing, so it is an essential need to develop the agriculture. Oryza sativa L (Paddy) and Triticum aestivum (Wheat) are the most important food crops in India. This proposed research work introduces a new technology for paddy and wheat cultivation in agriculture. The objectives of proposed research are to monitor and control the plant soil moisture sensor and water level sensor and also to identify the diseases are occurred in Paddy and Wheat. The values detected by sensors and it are transmitted through Wireless Sensor Network (WSN) for further controlling process. Plant cultivation is always under surveillance using wireless IP camera. The diseases are identified using LabVIEW image processing techniques such as preprocessing, feature extraction and classification. In this paper, texture features are extracted using GLCM and Mean, Standard deviation, Kurtosis and Skewness. K- Nearest Neighbor (KNN) and Support Vector Machine (GRBF) are used for classifications. The results obtained by WSN and identified diseases from SVM (GRBF) and KNN are sent to the concerned person using GSM and E-MAIL using Ethernet techniques. This idea saves a lot of man power, increase quality with quantity and feasible for application in precision agriculture.

Keywords

• LabVIEW, Image Processing, WSN, GSM, Precision agriculture

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Cite this Article as Follows

Maheswaran R, Muruganand S, Hemalatha C. Hybrid Embedded System Design For Real Time Monitoring The Growth and Detection Of Diseases in Oryza Sativa L and Triticum Aestivum.. International Conference on Inter Disciplinary Research in Engineering and Technology 2015. Vol. 1. Chennai: Association of Scientists, Developers and Faculties, 2015. 23-32. Print.