Crop Inspection and Risks Assessment System
About the System
Precise multi-level inspection of crops using satellites, drones, smartphones, and Machine Learning technologies for assessing the condition of crops, identify crop protection issues, and action planning
–Manufacturers and distributors of seeds and crop protection products
–Manufacturers and distributors of fertilizers
–Integrated food & beverage companies
The system allows to
Provide an efficient process of collecting fields data using precise satellites, drones, and smartphones
Organize collective work in a corporate environment
Consolidate information from external systems (weather, chemical samples, etc.)
Analyze data to identify zones of variability, damages, and weeds.
Organize field trials
Assess plants density
Plan actions concerning plant protection, including variable inputs by drones
Support a more accurate application of crop protection products/fertilizers
Monitoring of fields daily by delivering 3-meter resolution satellite imageries (including historical data). Analysis of the studied field with several vegetation indices (NDVI, LAI, EVI, NDWI, etc. based on four bands).
Service is available worldwide.
Historical analysis of the vegetation indices. Navigation through the history of vegetation indices, maps collected from drones, and even smartphones allow you to get a complete picture of your assets.
Explore index histogram, dynamic recalculation of range. Manage by analytics details: 3, 5, 9, 256 colors. Dynamic calculation of the area of each differential zone.
Export differential zones to KML and shapefile formats for variable rate applications.
Explore risk areas in detail with easy-to-operate personal drones
Drones allow analyzing crops in resolution up to 2cm per pixel by orthophoto map of fields.
Mobile application for drone control – Aeroscouter – enormously simplifies data collection for non-professional pilots.
The whole process of data collection is fully automated.
Users can set field boundaries in advance in the cloud application. Aeroscouter builds the flight route over the field.
You just press the button “Start” in the Airscouter, and the drone takes off, runs the survey by the route, and lands automatically.
An orthophoto is a crop canopy map assembled from drone images into orthogonal projection.
The process of orthophoto building is fully automatic.
Despite the significant processing capacity required for the production of such maps, you just need to download the drone photos in our cloud and launch the process to get ready-to-analyze orthophoto map.
Our system is drone agnostic. There is only one requirement for photos: it should be GPS tagged.
But we recommend DJI Multispectral P4 for surveying fields and obtaining a wide range of vegetation indices.
–Maximum flight time: 27 minutes
–Maximum coverage area at an altitude of 180m and a resolution of 10 cm per pixel per flight: 63 hectares
–Five multispectral channel cameras: Blue, Green, Red Edge, Near-infrared
–10 cm vertical and horizontal accuracy
Compact multispectral cameras allow you to build a wide range of vegetation indices, including NDVI, VARI, GNDVI, NDWI, SAVI, NDRE, etc.
It is possible to generate pseudo-vegetation indices even with a visual camera: pseudo-NDVI, VARI, and so on.
Our mobile application – Groundscouter – turns your smartphone into a professional tool
Set Points of Inspection (POIs) in a cloud application for further use ones in smartphone application
Groundscouter allows you to collect images and preset indicators by POIs
Offline mode: the ability to collect data in a field without Internet coverage with further synchronization of information with the cloud
Building of interpolation maps based on the collected indicators at POIs
Analysis of multispectral indices.
An interactive segmentation tool that allows you to quickly highlight the differential zones, even on a visual map, considers the color characteristics of crops and structure.
Building of interpolation maps based on:
–parameters collected at points using the Groundscouter mobile application.
–Interpretation of detailed photos from drones.
–Chemical analysis of soil, etc.
Crop density maps.
Build crop density maps using detailed photos collected from the drone and Machine Learning. Use crop density map to scout areas with different levels of growth.
Study of the correlation of indicators collected in the field with vegetative satellite maps.
Remote sensing tools provide you warnings and data for further steps that lead to understanding and correction of a situation with crops. But to protect your yield, you need to act.
Spraying with pesticides is an often-unavoidable procedure to protects and save your yield.
Due to the increasing costs of labor and pesticides, manual-work spraying of pesticides leads to low operation efficiency, waste of water, and plant protection products. Additionally, the spraying effect is not ideal. Therefore, the use of agricultural unmanned aerial vehicles solves this series of problems.
The additional pro factor is the protection of the environment. Using spraying drones allows reducing 30% of pesticide using and 90% of water waste.
And next unbeatable factor is variable spraying, which becomes possible only after the analysis of remote sensing results. It means that you do not need to process the whole field, but only spots that require protection.
Platform allows simplifying the whole cycle of variable spraying significantly: getting field borders, surveying, data analysis, planning of differential spraying. Finally, you can build a VRA map in our system and generate tasks for variable spraying by drones directly from Platform.
In more details, our system allows:
Use any type of maps (satellite and drone vegetation maps, segmentation, interpolation maps) and their combination to detect variability zones.
Build Tasks for differential application of inputs from drones.
Prescription map can be generated using any type of maps in the system or their combination in the form of KML or shapefiles
Aerial scouting Cloud platform Agro, Enterprise Edition is a сloudbased system that implements all business processes for working with satellites and drones in a corporation, including the planning of operations, collection, and subsequent Big Data analysis.
Multi-org structure. Entities, data, and users of the system are logically organized into workspaces. Users in the workspace are logically isolated from users and data in other workspaces.
Access to each entity in the system can be limited to a specific list of users with individual rights.
Simple hierarchy of entities and data in the system, which allows you to structure and analyze data easily and effectively.
Assets allow to maintain a register of fields with their main properties: name, address, area, crop rotation, boundaries, etc. Field boundaries can be drawn either manually or imported from shape or KML.
A Mission is a monitoring/inspection task..
The mission is linked to the Asset. For each Asset, you can create as many inspection Missions as you want..
The Mission contains information about the planned and actual date of the inspection, the pilot and the drone; mission status; data collected during the inspection..
The type of Mission can be Ground, Aerial, or Satellite.
Reports contain primary data processing results and analytics, such as multispectral maps, maps of segmentation, plant density, etc.
Benefits for Enterprise
Customization. Every company has its own specific business processes, reports, and procedure. Our Development Department allows customizing our standard solution for your requirements, setup new reports and adjust business processes.
Integration. Open API allows your staff or our developers to integrate our system with your internal information systems without any problems
Premium Support. You can use a number of communication channels to reach the best result: email, web portal, telegram channel, voice.
How it works
Create boundaries of your fields or import them into the System from electronic format
Regularly or upon request receive vegetation maps of fields from satellites
Create drone survey missions based on vegetation satellite maps or autonomously
Collect data using drones
Simultaneously survey your fields by
Points of Inspection using the Ground Scouter mobile app
Upload your data to the cloud and perform analysis