Image Processing Techniques on Agriculture-A Review

The productivity of agriculture crop yield is reducing everyday because of reasons like various kinds of disease, mineral deficiency, etc. To meet the global energy demands of ever growing population the productivity as well as quality of agricultural crop must be improved by using advanced current computer technologies like robotics, computer vision. One technique which is emerging as a useful tool is image processing that has been reported to improve agricultural productivity in number of ways. For agriculture image processing, advanced image processing methods and computer vision techniques are grouped according to specific objective like image acquisition, pre-processing, image segmentation, feature extraction and classification. This paper intends to focus on the survey of application of image processing in agriculture field which covers the detection of diseases, weed, stress severity factors, greenness and crop rows.