Crop Health Monitoring
Small changes in the health of crops can be highlighted by multispectral sensors and analysis. Growers can identify, monitor, and track disease-related stress by using analytics produced by the red edge band. Often, before a disease becomes visible in NDVI, it can be seen in red edge based indices if it is prevalent in a crop. Through early detection, users can identify illness earlier and take swifter action to halt its spread. This is important especially in Albania, where agriculture is one of the main industries.
Irrigation and Water Management
Using multispectral, high-resolution RGB, and thermal imagery together can reveal important information about water management. For instance, color composites using the NIR band (like CIR) can intuitively guide users in identifying overly damp areas. Aside from that, areas that are receiving extra irrigation (as a result of leaks, pooling, etc.) will be highlighted.
Crop Counting
The biggest problem when deciding whether to replant is time. Even a few seeds per row that failed to sprout can lead to thousands of plants per acre that won’t develop to yield a healthy crop. Additionally to plant classification captured from multispectral sensors, this imagery can provide data to algorithms for plant detection and counting, through AI, saving farmers time and improving yield predictions.
Benefits
Speed
10X faster and 1000+ less working hours.
Accuracy
Range of millimeters.
Costs
Up to 85% cost effective.
Flexibility
Easily deployable on site.
Safety
Inspect remotely.
How It Works
Choose a Drone
Nowadays there's a drone for every purpose. Here's a list of some of our drones and their purpose:
- DJI Phantom 4 RTK. The best drone for mapping sites.
- DJI Mavic 3 Multispectral. The new agriculture drone.
- DJI Phantom 4 Multispectral. The classic multispectral solution.
- Fixar 007. Best VTOL fixed-wing for mapping huge areas. Can be fitted with swappable payloads such as multispectral camera.
Flight Planning
Once the drone and mapping solution has been selected the next step is flight planning. Select the area where you want to do drone mapping along with it ensure safety majors. After finalizing the area, select altitude at which you want to fly the drone. After selecting the area plan the flight using mapping software. For the purpose, log into the software where it will automatically ask to plan a flight. It gives you the satellite image of the area where you just have to click on the square and select it for drone mapping.
Data Capture
Now the work is on the ground. After all selection processes next take the drone to the area where you have planned your flight and fly it. For the purpose connect drone to smartphone go to the drone mapping app and tap on the fly. Review the images captured by drone then and there to ensure that only relevant image goes for final analysis.
Data Processing
Once the images have been captured upload the images on the software. Then select output where the image will be processed in form of orthomosaic or 3D point cloud ready to be used for your purpose. It is important to note here that the science of photogrammetry is applied in agriculture via indexed maps and multispectral analysis, which shows differences in light by using NDVI, NRE and multispectral sensors which reflect crop health in the maps.
Data Output
A mapping software allows us to generate accurate assets with drone data after processing. Some of them are:
Use Case
| Location | AgroIliria Karavasta |
| Software | Skaitech Cloud |
| Hardware | DJI Mavic 3 Multispectral |
| Time | 2 Days |
| Area surveyed | 16.5 hectares |
