A Comprehensive Survey on Agricultural Image Processing

Agriculture is important in human life. Human being is directly dependent on agriculture for food requirement. As human population is rapidly increasing by exponential speed, we required to increase the productivity of agriculture crop yield. But now productivity of agriculture crop yield is reducing because of reasons like various kinds of disease, mineral deficiency, etc. Quality of food is also decreases. For human health, productivity as well as quality of agricultural crop must be improve by using new, advanced current computer technologies like robotics, computer vision. Current manual methods of agriculture are very harder, expensive with lowest efficiency due to human limitations. Manually monitoring agriculture field is very time consuming and required more and skilled human resource. Hence current research computer science is going on utilization of advanced computer vision techniques for precision agriculture. Because of computer methods like advanced image processing and computer vision techniques used in agriculture, various decisions are generated by computer system which lead to proper utilization of human recourses and decisions are quicker with increased accuracy. 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 presents survey on advanced image processing methods and computer vision techniques that used for agricultural image processing.