UAV motor control development
By 2050, the global population may be close to 10 billion. The Food and Agriculture Organization of the United Nations (UNFAO) 2017 Food and Agriculture Future Report states that agricultural production needs to increase by 50% to provide adequate food.
The Food and Agriculture Organization of the United Nations has identified a number of food production challenges that need to be addressed. This includes promoting rural prosperity, improving the food system and increasing agricultural productivity. And advanced technology plays an important role in meeting these challenges. The emergence of smart agriculture is conducive to improved crop yields and livestock management. For example, the use of Internet of Things (IoT) technology can increase crop productivity and livestock health.
Collecting data such as crop height, plant density, leaf status, or animal body temperature helps farmers, agricultural producers optimize plant or animal management, and predict and maximize yield. After data analysis, farmers need some effective measures to make quick decisions based on the information they collect. But the main problem is that farms can be extremely large and spread thousands of acres. At this time, the inspection of crops or livestock can be very time consuming. In addition, it is difficult to fully understand the health status of crops or animals, and it is not easy to find local planting density, drought or pest problems in specific areas.
The drone is capable of doing the job. Technology companies are looking for ways to allow farmers to quickly survey large areas using drones to gather depth information at visible and non-visible wavelengths (Figure 1). Unmanned aerial vehicles (UAVs) are driving the development of precision agriculture, and they also offer experts the opportunity to develop cloud analysis tools designed to analyze the data collected during UAV flight for appropriate response. Drones help farmers increase production by optimizing irrigation, fertilization or pest control, and reduce costs by using fertilizer more efficiently.
Agricultural UAVs are not limited to collecting data. Multi-rotor UAVs with payloads of 10 kg, 20 kg or more have more advantages than traditional pesticide sprays using tractors or light aircraft. Training UAV drivers is shorter and less expensive than training pilots, and is relatively inexpensive to purchase and operate the aircraft itself. UAVs that spray pesticides are faster and do not damage crops than tractors. In addition, the drone can still complete the operation even if the rain is caused by the rain.
