Journal
2019 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC 2019), VOL 1
Volume -, Issue -, Pages 328-331Publisher
IEEE
DOI: 10.1109/IHMSC.2019.00082
Keywords
computer vision; support vector machine; corn diseases; feature extraction
Funding
- Projects of Jilin Provincial Development and Reform Commission [2019C054-7]
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In recent years, due to climate warming, changes in agricultural ecological environment and changes in planting structure, farming system, planting varieties, production methods and production conditions, the living and epidemic conditions of some pests or media insects have also changed, creating an ecological environment suitable for the accumulation of harmful organisms, and the occurrence of corn diseases is increasing year by year. Aiming at common diseases and insect pests, gray spot and brown spot of corn, the recognition model of gray spot and brown spot of corn is established by using computer vision technology and support vector machine, and the generalization ability of the model is tested. The simulation results show that the model can effectively identify gray spot and brown spot of corn, and the correct rate of disease recognition reaches 86.1%, which can be used as a precondition for corn diseases and insect pests, and provides a certain technical reference and has a good practical application value.
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