In recent years, the development of agricultural science and technology has been paid more and more attention, with intelligent robots instead of artificial labor and supervision gradually into the public vision. The application of agricultural plant protection UAV, so that spraying pesticides, planting and other agricultural technology has become easier, accurate and effective. Whether it is soil infrared remote sensing, crop growth assessment or agricultural spraying, UAV in precision agriculture is playing the more important role, become a modern precision agriculture pioneer, and will open a new chapter in precision agriculture. In addition to the traditional plant protection operations, the plant protection UAV has the characteristics of accurate operation, efficient environmental protection, intelligent, simple operation, etc., for the farmers to save large machinery and a lot of manpower. cost.
Farmland information monitoring
UAV farmland information monitoring mainly includes pest monitoring, irrigation monitoring and crop growth monitoring, etc., is the use of remote sensing technology-based spatial information technology through a large area of farmland, land aerial photography, from aerial pictures, camera data In the full and comprehensive understanding of the crop growth environment, cycle and other indicators, from irrigation to soil variation, to the naked eye can not be found in pests and diseases, bacterial invasion, pointed out that the problem area, so as to facilitate the farmers to better field management. UAV farmland information monitoring has a large range, strong and objective and accurate advantages, is the conventional means of monitoring can not match.
Remote sensing technology of agricultural low – altitude unmanned aerial vehicles
1) make up for the traditional monitoring equipment operating range is small, real-time monitoring and other issues;
2) make up for high cost of satellite remote sensing, affected by weather conditions and other issues;
3) access to agricultural nutrient, crop growth, pest monitoring and other agricultural production information;
4) through data analysis, variable fertilization, scientific application, prediction of pests and diseases, forecast crop yield.