Farming is highly land and labor-intensive. Farmers are driven to use technology to increase efficiency and manage costs.agricultural drones are widely used with smart flow control.
But what exactly does exactly precision agriculture mean?
Precision agriculture is also known as precision ag or precision farming. Perhaps the easiest way to understand precision ag is to think of it as everything that makes the practice of farming more accurate and controlled when it comes to the growing of crops and raising livestock. A key component of this farm management approach is the use of information technology and a wide array of items such as GPS guidance, control systems, sensors, robotics, drones, autonomous agricultural drones and its corresponding solutions, variable rate technology, GPS-based soil sampling, automated hardware, telematics, and software.
Precision agriculture is now so widespread globally that it’s probably the most commonly-used example of precision ag today. A GPS-connected controller in a farmer’s tractor automatically steers the equipment based on the coordinates of a field. This reduces steering errors by drivers and therefore any overlap passes on the field. In turn, this results in less wasted seed, fertilizer, fuel, and time.
Precision agronomics is about providing more accurate farming techniques for planting and growing crops. Precision agronomics can involve any of the following elements:
Variable rate technology (VRT) – VRT refers to any technology that enables the variable application of inputs and allows farmers to control the amount of inputs they apply in a specific location. The adoption of variable rate technology is currently estimated at 15% in North America and is expected to continue to grow rapidly over the next five years.
GPS soil sampling – Testing a field’s soil reveals available nutrients, pH level, and a range of other data that is important for making informed and profitable decisions. Computer-based applications – Computer applications can be used to create precise farm plans, field maps, crop scouting and yield maps. This, in turn, allows for the more precise application of inputs such as pesticides, herbicides, and fertilizers, thus helping to reduce expenses, produce higher yields and create a more environmentally-friendly operation. The challenge with these software systems is they sometimes deliver a narrow value that doesn’t allow data to be used for making bigger farm decisions, especially with the support of an expert. Another concern with many software applications is poor user interfaces, and the inability to integrate the information they provide with other data sources to enrich and show significant value to farmers.
Remote sensing technology – The primary aim of precision agriculture and precision agronomics is to ensure profitability, efficiency, and sustainability while protecting the environment.
Autonomous agricultural drones and its corresponding solutions- this mainly including agricultural pesticide spraying drones, flow control, flight control and big data platform, all these are essential for precision agriculture.