Automated Crop Field Surveillance using Computer Vision
This addresses a specific issue for farmers and crop field owners, but appears incremental as it applies existing computer vision methods to a new domain.
The paper tackles the problem of wild animal trespassing in agriculture by proposing an automated surveillance system using computer vision, aiming to reduce crop destruction costs and fully automate field security.
Artificial Intelligence is everywhere today. But unfortunately, Agriculture has not been able to get that much attention from Artificial Intelligence (AI). A lack of automation persists in the agriculture industry. For over many years, farmers and crop field owners have been facing a problem of trespassing of wild animals for which no feasible solution has been provided. Installing a fence or barrier like structure is neither feasible nor efficient due to the large areas covered by the fields. Also, if the landowner can afford to build a wall or barrier, government policies for building walls are often very irksome. The paper intends to give a simple intelligible solution to the problem with Automated Crop Field Surveillance using Computer Vision. The solution will significantly reduce the cost of crops destroyed annually and completely automate the security of the field.