UAV Data Analysis for Precision Agriculture
Rely on UAV data analysis from seed to harvest to reduce yield losses and preserve crop quality
UAV Data Analysis for Precision Agriculture
Rely on UAV data analysis from seed to harvest to reduce yield losses and preserve crop quality
ATLAS is an AI-driven digital platform for precision farming insights based on drone, aerial, satellite data and use of AI detectors.
Fast crop scouting
Make an automatic territory segmentation of crop imagery and calculate actual crop areas for insurance, crop scouting and yield prediction more accurately.
Faster data markup
and no more manual routine in UAV data analysis and report generation! Share reports with all the stakeholders without delays on the day of surveying and make fast decisions.
Minimize yield losses
Increase farm productivity and preserve crop quality through UAV data analysis. Run AI detector to promptly identify pests, diseases and weeds on the fields and plan the response.
Success story
Saving sugar beet from field dodder weeds
Learn how GeoScan IL significantly decreased human time investment in the process of inspection the large areas of beetroot in search of dodder weed
Main Features
ATLAS contains its own AI-engine, which learns from users activity and automates regular tasks in agriculture, thus leading to better decisions
Use machinery & chemicals efficiently
Excessive use of pesticides results in less efficient and less productive crops. To approach farming in sustainable ways, accurately measure the area covered by weeds for calculating the minimum required volume of chemicals spraying, as well as amount of heavy machine work hours and fuel for the focused deployment of weed killers and pesticides.
Provide data for crop insurance claims
UAV data effectively supports insurance claims for guaranteed payouts. Make an automatic territory segmentation and calculate areas of crop damage and total loss. Compare the same field before and after the damage using visual reports on the timeline.
Track field's changes
Keep the survey data on the timeline with an ability to monitor and compare the fields, assess drainage issues or losses, monitor crop health and predict yields. Integrate any detection results to GIS or farm management applications. Store raw aerial photography, orthomosaics, DSM, vector data (DXF, KML, Shape), and any additional files.
Weed and pest detection
Localize weed patches, detect pests and areas devastated by locust or other insect to assess in-season crop health. An accurate geographical positions of pests and weeds can be generated for manual inspection or any VRA.
Crop yield prediction
Receive valuable insights for agriculture intelligence from UAV data with the help of territory segmentation, areas measurements and image analysis
Count planted trees
ATLAS provides tools to clean DSM from artificial objects to make accurate elevation profiles and slope measurements.
EBOOK | ATLAS FOR PRECISION AGRICULTURE
UAV & Satellite Data Analysis in Precision Agriculture
Agronomists and researchers worldwide need to analyze tons of aerial data to assess crop health. Manual studying of 10+ GBs of data regularly is an inefficient process. Explore how AI automates the routine of data analysis for precision farming on real-life examples and data sets.
Smart geospatial analysis
Automate the time-consuming manual analysis of UAV & Satellite data
How DroneGIS works
With 3 simple steps turn your aerial images into business insights!
1.  Upload data
Upload images or orthomosaic to the DroneGIS cloud or your locally deployed DroneGIS On-Premises for higher data security
2. Visualise, annotate and analyze
Visualize geospatial data, annotate objects manually or with AI detectors, measure and analyze data
3. Export and share reports
Export results in GeoJSON, CSV, PDF and other formats or share them with one click with colleagues and stakeholders
How-To
ATLAS for Agriculture: Corn seedling counting with AI
The article explains how to utilize RGB imagery from drones to count vast amounts of seedlings of various plants in the field.
The workflow
Quick start with your AI detector
ATLAS is simple to use not requiring GIS and data science knowledge. The webinar unfolds the process of ad-hoc training your AI-powered algorithm on annotated data following the 3 easy steps.
We care about your data
ATLAS can be used as a cloud-based solution or installed on-premises.
Cloud based solution
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On-premises installation
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Customers in 150+ countries use SPH Engineering solutions daily for drone mission planning, flight control, and data management
Frequently Asked Questions (FAQ)
Detections performed by AI detectors are visible on the map/image, though counting, area size, and export functions are blocked. 
Once you confirm you are satisfied with the accuracy of the detection results, you will be prompted to approve the payment amount to be added to your balance, which will unlock the display of object counts, area sizes, and export of vector results. 
EXPLORER
  • Storage 20 GB
  • Processing capacity 2'000 MP*
  • 10 detectors
  • 3 users
  • Features:
  • GeoJson, CSV, JPG export
  • Photogrammetry processor
  • Public links to projects
$ 50 monthly
Subscribe
EXPLORER PLUS
  • Storage 50 GB
  • Processing capacity 5'000 MP*
  • 20 detectors
  • 5 users
  • All features of EXPLORER
  • + DXF import/ georeferencing
$ 125 monthly
Subscribe
BUSINESS
  • Storage 200 GB
  • Processing capacity 20'000 MP*
  • 80 detectors
  • 10 users
  • All features of EXPLORER PLUS
  • + Phone support
$ 400 monthly
Subscribe
BUSINESS PLUS
  • Storage 500 GB
  • Processing capacity 50'000 MP*
  • 160 detectors
  • 20 users
  • All features of BUSINESS
$ 1000 monthly
Subscribe