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On Russian Farms, the Robotic Revolution Has Begun: Hundreds of Aftermarket AIs are Harvesting Grain
IEEE Spectrum ( IF 3.1 ) Pub Date : 2021-09-08 , DOI: 10.1109/mspec.2021.9531014
Olga Uskova

THE FIELD OF AUTOMATED precision agriculture is based on one concept-autonomous driving technologies that guide vehicles through GPS navigation. Fifteen years ago, when high-accuracy GPS became available for civilian use, farmers thought things would be simple: Put a GPS receiver station at the edge of the field, configure a route for a tractor or a combine harvester, and off you go, dear robot! • Practice has shown, however, that this kind of carefree field cultivation is inefficient and dangerous. It works only in ideal fields, which are almost never encountered in real life. If there's a log or a rock in the field, or a couple of village paramours dozing in the rye under the sun, the tractor will run right over them. And not all countries have reliable satellite coverage-in agricultural markets like Kazakhstan, coverage can be unstable. This is why, if you want safe and efficient farming, you need to equip your vehicle with sensors and an artificial intelligence that can see and understand its surroundings instead of blindly following GPS navigation instructions.

中文翻译:

在俄罗斯农场,机器人革命已经开始:数百个售后 AI 正在收割谷物

自动化精准农业领域基于一种概念,即通过 GPS 导航引导车辆的自动驾驶技术。15 年前,当高精度 GPS 进入民用时,农民认为事情很简单:在田地边缘放置一个 GPS 接收站,为拖拉机或联合收割机配置一条路线,然后就可以了,亲爱的机器人!• 然而,实践表明,这种无忧无虑的田间耕作效率低下且危险。它只适用于理想领域,在现实生活中几乎从未遇到过。如果田地里有木头或岩石,或者有几个村里的情人在阳光下在黑麦里打瞌睡,拖拉机就会从他们身上碾过。并不是所有国家都有可靠的卫星覆盖——在哈萨克斯坦这样的农业市场,覆盖可能不稳定。
更新日期:2021-09-10
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