Precision farming is likewise called precision agriculture. Perhaps the easiest way to see precision agriculture is to remember it as everything that makes this knowledge of growing more precise and controlled when it comes to the production of crops and raising livestock. To do so the precision agriculture technology combines and utilizes such as GPS (Global Positioning System management, power systems, sensors, robotics, drones, autonomous vehicles, variable rate technology, GPS-based soil sampling, automated hardware.
How can those technologies recognize and use by the agriculture business model? It began in 1980 when agribusiness often used GIS (Geographic Information System) technology to monitor crops. However, before the 1980s, GIS had no commercial applications and was only used by organizations. Yet, as land holdings grew, farmers found it more difficult to acquire topographical data to make farming decisions. GIS technology was crucial because it allows farmers to digitally map their farms and capture geographical information that could be used to determine plant selections based on parameters such as soil type, rainfall, topography, and more.
Over the last three decades, precise automated navigation has been one of the most intensely researched and implemented technologies. It was automated tractors. Reduced operator fatigue, the elimination of machinery overlaps and skips, and increased efficiency in fuel usage and product application are all benefits of this strategy. Since Andrew in 1941 invented a method for automated plowing of circular fields depending on the distance to the center using a cable spool system, agricultural machinery navigation has been explored for at least 75 years.
Then, crop mapping particularly began in the early 1990s, is one of the most important precision agriculture technology. Instead of manually calculating the quantity of harvest to determine the number of crops per acre, farmers could use crop mappers, which included sensors, a combine, and a computer, to record crop production in real-time.
In the late 1990s, the farmers tried to create a plateau because they were tired of experimenting with technologies, dealing with bugs, and lack software training. Farmers were under pressure to create products that were much easier to use and comprehend, as well as provide the necessary technical assistance, as a result of this plateau. There has also been a growth in the number of software and hardware manufacturers, offering farmers more alternatives based on their production and management goals.
That’s how precision agriculture changed over the years. Wanna get to read this story continuation or get more information about precision agriculture and drone as a service? Subscribe to our blog and follow our social media.