Automatic Pest Detector in Agricultural Farms using Acoustic and Image Wireless Sensor Network Technology
Y. L Malathi Latha1, J. Manoranjini2
1Dr. Y. L. Malathi Latha, Department of CSE, SVIT, Secunderabad (Telangana), India.
2Dr. J. Manoranjini, Department of CSE, SVIT, Secunderabad (Telangana), India.
Manuscript received on 24 February 2020 | Revised Manuscript received on 04 March 2020 | Manuscript Published on 15 March 2020 | PP: 5-8 | Volume-9 Issue-4S2 March 2020 | Retrieval Number: D10020394S220/2020©BEIESP | DOI: 10.35940/ijitee.D1002.0394S220
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: India is an agricultural country which depends on agriculture and crops for its economic survival. The production of crops is majorly affected by biotic living organisms, mainly the parasites and pathogens. To handle this continuous monitoring of the crop production is addressed seriously in developed countries. Sensor technology is a promising technology which shows great significance in addressing the agriculture and monitoring based on different parameters. In recent years the advanced wireless sensor networking technology has become popular in pest monitoring and early warning to farmers for timely management of potential pests in agriculture. Image sensors captures pests along with the system which would employ an acoustic device sensor for monitoring the pest’s noise level which would notify to the farmer of the specific area where the infestation is occurring.
Keywords: Crop Areas, Sensor Nodes, Bayesian Classifier, Dimensionality Reduction, Feature Extraction, Feature Selection.
Scope of the Article: Image Security