The Prospection of Future Farming: GPS, Drones and Robot.

(Shenzhen, China) – Can you imagine how amazing the GPS technology was used to change our world?
Recently, Alex Thomasson, Professor of Biological and Agricultural Engineering at Texas A&M University, has a conversation to talk about the future of farming by using GPS, Drones and Robot.
Today’s agriculture has transformed into a high-tech enterprise that most 20th-century farmers might barely recognize.
After all, it was only around 100 years ago that farming in the U.S. transitioned from animal power to combustion engines. Over the past 20 years the global positioning system (GPS), electronic sensors and other new tools have moved farming even further into a technological wonderland.

Global positioning gives hyperlocal info

GPS provides accurate location information at any point on or near the earth’s surface by calculating your distance from at least three orbiting satellites at once. So farming machines with Vehicle GPS tracker are able to recognize their position within a farm field and adjust operation to maximize productivity or efficiency at that location.
Take the example of soil fertility. The farmer uses a GPS tracker to locate preselected field positions to collect soil samples. Then a lab analyzes the samples, and creates a fertility map in a geographic information system. That’s essentially a computer database program adept at dealing with geographic data and mapping. Using the map, a farmer can then prescribe the amount of fertilizer for each field location that was sampled. Variable-rate technology (VRT) fertilizer applicators dispense just exactly the amount required across the field. This process is an example of what’s come to be known as precision agriculture.

Info, analysis, tools

Precision agriculture requires three things to be successful. It needs site-specific information, which the soil-fertility map satisfies. It requires the ability to understand and make decisions based on that site-specific information. Decision-making is often aided by computer models that mathematically and statistically analyze relationships between variables like soil fertility and the yield of the crop.
Finally, the farmer must have the physical tools to apply the management decisions. In the example, the GPS-enabled VRT fertilizer applicator serves this purpose by automatically adjusting its rate as appropriate for each field position. Other examples of precision agriculture involve varying the rate of planting seeds in the field according to soil type and using sensors to identify the presence of weeds, diseases, or insects so that pesticides can be applied only where needed.

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