Even before the coronavirus outbreak impacted every aspect of our daily lives, innovative drone use was making significant breakthroughs in a wide variety of industries. From retail to their increasing adoption by industrial and manufacturing firms, drones are becoming commonplace.
But as hospitals, companies, and municipalities learn how to operate under new social-distancing guidelines, drones have become even more useful and are being used for a number of unique tasks.
One of the greatest challenges for any successful business is knowing when it’s time to change. After all, conventional wisdom says “if it’s not broke, don’t fix it.” But with 21st-century manufacturing technology changing at such a rapid pace, those who stand still will soon be left behind.
The last time the world saw technological advancements at this pace, Henry Ford was just figuring out the assembly line. By looking back at Ford’s adoption of the new technology of his time we may be able to learn how to properly read today’s technological trends. This knowledge will help prepare us for investing in AI and automation at the most advantageous time for our manufacturing, warehousing, and distribution systems.
Leverage Automation
Henry Ford was not a newcomer to the car business when he began producing the Model T in 1908. Before starting the Ford Motor Company, Henry worked for several other automotive companies where he contributed to the creation of the Quadricycle and the Ford 999. But he dreamed of a vehicle for ‘the great multitude,’ and so the Model T was born.
Unfortunately, the original Model T was still too expensive for most Americans. When Ford began churning the cars out via assembly line, however, their price dropped significantly.
In 1909, workers were using traditional methods to piece cars together. That year, a Model T cost $825. Production was under 11,000 units. But in 1916, three years after Ford started using assembly line production, the Ford Motor Company produced over half a million Model Ts. Each one sold for $345.
There are many examples of how tech has changed agriculture to improve efficiency. Investment in specialized technology for “doing one thing better” is increasing. More specialized business models have cropped up. With these, specialized skills and equipment supporting IoT wireless data transfer are increasingly important.
More and more, ag businesses have turned to AI, machine learning, and robots for certain necessary tasks. Automated robots use specialization to become proficient at one particular job. One example of this is Harvest Automation’s container-moving robot. Weighing in at just about one hundred pounds, the not-quite two-foot-tall robot works in greenhouse and nursery environments to properly space out container plants.
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