Other examples of smart technologies transforming agriculture that could benefit from 5G include drones and cell-connected robots equipped with cameras, which can be used to quickly survey large swaths of land to closely monitor crop fields. crop and livestock. Automating the large-scale collection of detailed information, which farmers would previously have collected by hand, saves time for less laborious tasks, while opening up new opportunities for more resilient crops in the future. .
israel-startup Taranis footage of entire fields down to leaf level with light sport aircraft and drones. It maintains its ultra-high resolution at speeds of 100 mph, quickly identifying areas needing attention. By running granular weather forecasts at the field level, it also recommends the most efficient time to apply treatments or the best planting window.
EarthSense produced a ground robot, called TerraSentia, which uses a combination of sensors – including visual cameras, light detection and ranging (LIDAR) tools and GPS devices – to collect data on health, physiology and plant stress responses. Collecting data and information under the canopy, it can scan 10 plants per second. Its cloud-based platform also allows agronomists to train the robot to automatically measure a range of key characteristics such as height, condition and leaf area index.
The higher speed and lower latency of 5G can enable near real-time data transfer, which helps ensure the safe use of robotics to improve crop management efficiency. Combined with reliable cellular connectivity and IoT technology, 5G can help “agritech” achieve its ultimate goal: to make the work of farmers easier and more informed.
Preliminary measurements comparing crops using 5G-powered smart agriculture to those using conventional methods won’t be available for a few years as more farms test what’s possible in what’s a textbook seismic passage. to digital. However, the possibilities for improving operations and efficiency are very promising: using the data for field diagnosis and treatment, automating repetitive and dangerous tasks, even calculating potential problems and implementing prevention techniques. to protect crops from bad weather and pests.
Not keeping pace with the changing times is not an option. Farms evolve, whether we like it or not, to meet our future needs. Innovative technologies and data can create more resilient and sustainable cultures and help ensure that food insecurity is a thing of the past.