Automated Crop Field Surveillance Using Computer Vision

Tejas Khare, A. Phadke
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引用次数: 2

Abstract

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.
使用计算机视觉的自动农田监控
如今,人工智能无处不在。但不幸的是,农业并没有从人工智能(AI)那里得到那么多的关注。农业仍然缺乏自动化。多年来,农民和农田所有者一直面临着野生动物入侵的问题,但没有提供可行的解决方案。由于田地覆盖的面积很大,安装围栏或屏障之类的结构既不可行也不有效。此外,如果土地所有者有能力建造一堵墙或屏障,政府修建墙的政策往往是非常令人讨厌的。本文旨在为利用计算机视觉实现农田自动监控问题提供一个简单易懂的解决方案。该解决方案将大大降低每年摧毁作物的成本,并完全实现农田安全的自动化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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