Mapping refers to the measurement and collection of the shape, size, spatial location and attributes of natural geographic elements or artificial facilities on the surface, and it mainly includes two tasks: surveying and mapping. In recent years, the rapid development of agricultural drone technology has overturned the traditional methods of surveying and mapping. Drone agriculture mapping, because of its high efficiency and fast speed, greatly saves operating costs, reduces the labor intensity of surveying and mapping personnel, and gradually replaces the surveying and mapping method of measuring the land with footsteps, and has been more and more widely used in various fields.
In the agricultural field, drone agriculture mapping also has a very broad application.
(1) Rural navigation
The current urban road data is very accurate, but rural navigation is relatively backward, and the information is often inaccurate or even incorrect. Drone agriculture mapping can provide accurate navigation information for rural areas.
(2) land right confirmation
Drone agriculture mapping provides information on the area, size, coordinate location and other information of farmland, so that everyone can understand the actual situation of rural land more clearly, as well as providing assistance for land right confirmation and land transfer management.
(3) Farmland plant protection operations
Before agricultural UAV spraying, drones can be used for agricultural mapping to obtain high-definition farmland maps, farmland boundaries, obstacles and other information, and accurately plan flight routes to ensure accurate and efficient plant protection operations.
(4) aerial photogrammetry
Use agricultural drones equipped with aerial photography equipment to continuously take pictures on the ground, and combine the steps of ground control point measurement, adjustment and mapping, and three-dimensional surveying and mapping to draw topographic maps.
(5) Customize remote sensing data
Collect various remote sensing data through custom-built agricultural drones equipped with functional cameras, such as multispectral hyperspectral, obtain spectral data curves through background software, and analyze the distribution of agricultural diseases and insect pests.