In the daily fire prevention work, drones can quickly and automatically patrol large forest areas, which greatly improves the patrol efficiency. UAV can quickly obtain the overall perspective of the fire and the location distribution of the fire line, and can quickly identify and locate the fire through the thermal imaging camera to break through the smoke barrier, greatly improving the efficiency of information acquisition and assisting the scientific dispatch of fire fighting forces on the spot. After putting out the open fire, they can patrol the fire with thermal imaging cameras to identify the re-ignition point or smoke point to prevent the second large-scale fire.
In the period of frequent occurrence of diseases and insect pests, the agricultural plant protection drone is equipped with suitable pesticides, and the liquid medicine is directly pressed on the crops through the powerful airflow generated by the rotor, which has the advantages of large spraying amount and uniform spraying. The pesticides can penetrate deep into the roots of crops with the airflow, and the control effect is good, and the spraying efficiency is dozens of times that of manual spraying. Unmanned aerial vehicle (UAV) carries out pesticide spraying and comprehensive prevention and control by special personnel, which is helpful to increase agricultural efficiency and farmers' income.
In the pollination season of rice, wheat, tobacco, tea, fruit trees and bamboo forests, pollen and reagents are dissolved with liquid, and the prepared pollination liquid is filtered and added into the drone medicine box, and aerial spraying is realized by drone, so that plant protection pollination can be realized in thousands of acres of orchards, paddy fields, tea gardens, etc. The application of drone pollination technology is more comprehensive, rapid and efficient than traditional human tools.
After the long summer, many crops have entered the peak season. At this stage, it is very important to monitor the spatial distribution, emergence and growth of farmland crops in time. The traditional monitoring method of agricultural conditions relies on manpower, which is time-consuming and laborious and has a small observation area. At the same time, the accuracy and consistency of the survey are difficult to reach a unified standard, which has certain limitations and is no longer suitable for large-scale farmland monitoring. The UAV is equipped with multi-spectral remote sensing system and artificial intelligence system. , index and algorithm training of farmland and plant-related spatial distribution, emergence status and growth status, feedback farmland, crop-related status and growth status through AI identification indicators, and early warning of abnormal conditions, which is more intelligent, efficient, accurate and labor-saving than traditional clear monitoring.
# UAV # # Smart Agriculture # # Application #