monitoring of green house gases using wireless sensor network and pests detection using svm classifier
Aruna,V.N.Arumbu
Published in International Journal of Advanced Research in Electronics, Communication & Instrumentation Engineering and Development
ISSN: 2347 -7210 Impact Factor:1.9 Volume:3 Issue:1 Year: 05 July,2016 Pages:95-101
Abstract
Abstract – This paper describes about the “Greenhouse gases monitoring using sensors and pest detection using image processing”. Nowadays, due to the man-made activities such as deforestation, burning of fossil fuels, coals are major causes of Greenhouse effect which results in Global warming. So all across the world researchers are trying to monitor the various greenhouse gas parameters such as CO2 , CO, Methane etc. in the atmosphere. In this paper, we trying to look into the problem of pest detection in the greenhouse are widely applied to agriculture field and it has great perspective to prevent plant which leads to crop management. The technique used for pest detection is SVM classifier which is used to identify the pests and classify the pest according to their components.
Kewords
Key words: Sensors, Greenhouse gases, Image processing, SVM (Support Vector Machine).
Reference
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