Efficient Pest Detection in Agriculture Using various image processing techniques

IT Skills Show & International Conference on Advancements in Computing Resources, (SSICACR-2017) 15 and 16 February 2017, Alagappa University, Karaikudi, Tamil Nadu, India. International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

Early disease detection is a major challenge in agriculture field. Hence proper measures have to be taken to fight bio aggressors of crops while minimizing the use of pesticides. The techniques of machine vision are extensively applied to agricultural science, and it has great perspective especially in the plant protection field, which ultimately leads to crops management. The propose method in future deals about to reducing the quantity of the fertilizer. Various methods are used to detect the pest from the agriculture plant leafs. The simulation results are showed that accuracy of segmentation of pest from agriculture leaf using various image processing techniques.

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Keywords

Agriculture, leaf, disease detection, fertilizer, image processing techniques