A Comprehensive Survey on Pest Detection Techniques using Image Processing
Harshita Nagar, R.S. Sharma
Abstract
Agriculture is an essential source of sustenance. In India, this sector has tremendous opportunities of large-scale employment for villagers. A survey report illustrated the dependency of the Indian population on agriculture i.e. nearly 70%. Here, agriculture consist of the composition of several crops depending on the climatic nature. However, most of the Indian farmers are still unaware of technical knowledge such as what kind of crop suits their farmland. Numerous heterogeneous diseases affect the production of crops and result as a profitable loss. This paper illustrates the pest diseases specifically with their impact on the current production of the crop. In addition, it shows the survey reports based on several detection techniques of image detection. It is important to search and develop more techniques in order to identify the pest disease before it creates a serious loss in crop production. The current method for the reduction of pest disease is to spray pesticides. However, this process severely affects the health of humans directly or indirectly. The pest detection techniques at the early stages can provide less need for spraying pesticides. The image detection technique emerges as an effective measurement tool in order to fight the infestation. This technique offers better crop management with production as it delivers the maximum protection to crops. Such techniques also minimize human errors and efforts as providing the feature of automatic monitoring over large fields.