Parasite Analyser using Artificial Neural Network
P.Subashini1, Harinidevi2, Aishwaraya3, B.Ezhiljoshini4
1P.Subashini, Assistant Professor, Department of Computer Science Srm Institute of Science And Technology.
2Harinidevi, UG Scholar, Department of Computer Science Srm Institute of Science And Technology.
3Aishwaraya, UG Scholar, Department of Computer Science Srm Institute of Science And Technology.
4B. Ezhiljoshini, UG Scholar, Department of Computer Science Srm Institute of Science And Technology.
Manuscript received on November 23, 2019. | Revised Manuscript received on December 30, 2019. | Manuscript published on December 30, 2019. | PP: 5415-5418 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B2337129219/2019©BEIESP | DOI: 10.35940/ijeat.B2337.129219
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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: Crop destruction causes so much damage to the crops or agricultural products which causes reduction in the productivity. There are numerous important crops are at risk. Parasites are controlled environmentally by unfriendly pesticides. Once a pest has reached either an economic threshold, or intolerable level action should be taken. Pesticides are used as a control measure while other strategies will not bring the parasite population under the threshold. So, here we use early parasite analyser to detect the parasite in a plant and its location. We use artificial network method to analyse the parasite. ANN technique is used to detect the pest in the field. This method is used to resolve the problem of classification identification, authentication, diagnostics, optimization and approximation.
Keywords: Parasites Analyser, ANN (Artificial neural network).