Big Data Plant Protection UAV Promotes Accurate Agricultural Development

[China Agricultural Machinery Industry News] Big data is only based on e-commerce marketing? This understanding is one-sided. Big data will exist widely in the physical world and the real economy, and its revolutionary drone industry revolution has just begun. Agricultural drone big data construction Agricultural plant protection is one of the many topics discussed in the discussion of drone applications.

Shooting the farm with a drone, and then using software for automated analysis and image processing, can get a lot of farmland data, providing problems that the human eye can't find. For example, whether the irrigation is uniform, the color of the soil changes, the temperature changes, whether the nitrogen fertilizer exceeds the standard, and the seriousness of the insect pests, the color spectrum analysis of the branches and leaves is used to judge whether the plants are dehydrated or the like. Based on these analyses, farmland can adjust planting practices in real time and crop yields are improved.

Big data plant protection drones promote agricultural development

The more important significance of plant protection drones is to save resources. For example, when a drone flies over a fruit forest, the color spectrum of the leaves can be used to determine whether the plant is dehydrated, and then the information is transmitted to the watering system of the fruit forest, and some are irrigated for irrigation, rather than blindly watering. Water resources can be saved – this is also the core of building big data with agriculture.

Nine-day innovative Tianyou series of drones, suitable for complex farmland environment, spraying, maneuvering and flexible shooting of farmland, big data analysis, obtaining remote sensing information of agricultural conditions, providing problems that cannot be discovered by human eyes, scientifically carrying out agricultural planting! Machine positioning mobile device to obtain data information

(The drone can locate the location through WIFI.) The drone can simulate the WiFi hotspot, sniff the MAC address of the mobile device, and triangulate the device according to the strength of the signal. The collected information can be combined to draw the user's motion map. , showing the neighborhoods, shops, etc. that he usually passes by, and then conditionally screening users, such as pushing promotional information to potential consumers who “go through the door”. By tracking the individual's trajectory, you can more fully grasp the living habits of the crowd and provide more reference data for the manufacturer. In addition, in an emergency, you can save lives by locating mobile devices. The drone uses the Wi-Fi signal of the victim's mobile phone to determine the location of the trapped person. UAV safety inspection drones are also used in the industrial field.

US Solar and SolarCity use drones to detect anomalies from millions of solar modules and to guide the planning of photovoltaic power plants to protect wildlife. Another example is the power grid inspection, the power transmission network stretches for thousands of miles. The traditional power grid inspection is that the inspectors cross the mountain and patrol along the line. After arriving at a high-voltage power tower, they also need to climb the electric tower. It is time-consuming and risky. If you use the JOYTON nine-day Tiankui drone, multi-angle tilt shooting, and get 100 million pixel images, the work efficiency can be doubled.

In the event of a sudden failure such as a lightning strike, the drone can arrive at the scene for investigation, and gain valuable time for fast recovery of the power supply. The drone can also shoot 360 degrees around the target to achieve zero dead angle. In addition, the infrared shooting function of the drone can detect potential faults such as line heating, which are difficult for even experienced electric power inspectors. China's power system, with millions of inspectors, if drones can be popularized, will replace large-scale inspections and reduce costs.

(Original title: Agricultural drone big data to build agricultural plant protection)