The use of artificial intelligence in tractor field operations: A review

E. Ikrang, Iniobong Unwana, Okhionkpamwunyi Precious
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引用次数: 1

Abstract

According to UN Food and Agriculture Organization [1], the population of the world will increase by 2 billion by 2050. However, only 4% additional land will come under cultivation by then. It could be inferred that, with the global population expected to reach 9.1 billion in 2050, 70 percent more food needs to be produced, otherwise about 370 million people would be in hunger in 2050. In this light, the use of latest technological solutions to make farming more efficient remains one of the greatest imperatives. While Artificial Intelligence (AI) sees a lot of direct application across sectors, it can also bring a paradigm shift in how we see farming today. AI-powered solutions will not only enable farmers to do more with less, it will also improve quality and ensure faster go-to-market for crops. This paper presents a review of the applications of AI in tractor field operations. The paper discusses elaborately, the use of robotics as a form of artificial intelligence which is very useful in tractor field operations such as tillage, weeding, seeding, herbicide spraying, and harvesting. A typical focus is laid on the strength and limitations of the applications and the way in utilizing expert systems for higher productivity.
人工智能在拖拉机现场作业中的应用综述
据联合国粮农组织[1]预测,到2050年,世界人口将增加20亿。然而,到那时,只有4%的新增土地将用于耕种。由此可以推断,到2050年,全球人口预计将达到91亿,因此需要多生产70%的粮食,否则2050年将有3.7亿人处于饥饿状态。有鉴于此,利用最新技术解决方案提高农业效率仍然是当务之急之一。虽然人工智能(AI)在各个部门都有很多直接应用,但它也可以为我们今天看待农业的方式带来范式转变。人工智能解决方案不仅能让农民用更少的钱做更多的事,还能提高质量,确保作物更快上市。本文综述了人工智能在拖拉机现场作业中的应用。本文详细讨论了机器人技术作为人工智能的一种形式,在拖拉机田间作业中非常有用,如耕作、除草、播种、除草剂喷洒和收获。典型的焦点放在应用程序的强度和局限性以及利用专家系统提高生产力的方式上。
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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