The role in UAV as i see in farming applications is to seed and harvest the product. Harvesting aim are to use the UAV instead of human work and try to decrease damage while harvesting. Robotics is a very wide topic, and it can apply from precise seeding to removing weed and etc.

May be more experienced fellows can explain in detail.

Hope this helps.

Regards,

Osman Ç.

Dr Osman cakiroglu thank you for your contribution to the discussion

In precision agriculture, UAVs are employed in a variety of tasks ranging from soil sampling and crop field analysis to planting and pesticide application. The ability of drones to move around quickly to their intended destinations is one of the top uses of drones in agriculture. Drones having this capability can spray insecticides and fertilizers on crops to nourish them and give them the nutrients they require. Remotely sensed images provide a visual method for understanding the effects of managed inputs such as fertilizer, and cultural practices such as tillage. They are also useful in understanding the impact of environmental factors such as drainage or pest infestations. Some of the most common commercial applications and uses for UAV Drones are: Aerial Photography & Videography. Real estate photography and mapping & Surveying.With Cellular IoT and LPWA networks such as LoRaWAN® becoming more prevalent, agriculture IoT sensors are more accessible than ever before, helping farmers maximize yields, conserve resources such as water and fertilizer, reduce waste, and enhance productivity. The major components of precision farming are; Geographical information system (GIS), Geographical positioning system (GPS), Remote sensing, Variable rate technology, NDVI, Nutrient expert system, SSNM, Bio-intensive farming, Real-time nitrogen management, DRIS approach, Soil testing and yield monitoring. Dataset of research on precision agriculture. To sense the presence of insects and pests on farmland, remote-sensing technology such as satellites and UAVs are used to locate predatory insects and quickly notify farmers of the situation. The robot navigates the field and interprets the assigned task. It helps the farmers by blowing weeds, applying chemicals or harvesting the crops, and includes navigation systems to locate themselves.One of the most significant advancements in precision agriculture is the development of autonomous robots that can perform various tasks on the farm. These robots are designed to work alongside human laborers, taking over repetitive and time-consuming tasks, such as planting, harvesting, and monitoring crop health. AI helps farmers choose the optimum seed for a particular weather scenario. It also offers data on weather forecasts. AI-powered solutions will help farmers produce more with fewer resources, increase crop quality, and hasten product time to reach the market. AI aids in understanding soil qualities. Some of the most common robots in agriculture are used for: Harvesting and picking. Weed control. Autonomous mowing, pruning, seeding, spraying and thinning. If there's a pest problem with a few crops, they spray everything to ensure the issue doesn't spread. Robotic technology makes it possible to detect the precise location of the problem and spray only the crops affected. That means lower costs, lower environmental impact and a more abundant harvest. Agriculture drones can see which plants reflect different amounts of green light and Near-infrared spectroscopy (NIRS) light. This data helps produce multispectral images to track crop health. Quick monitoring and discoveries of any defects can help save crops.