LandVisor™

Brush management decision-support and mapping solution

Description

LandVisor™ is a geospatial decision-support solution for rangeland management that combines field data collected by certified consultants with remote sensing imagery and GIS-based analysis. The solution generates vegetation maps focused on specific problem species and land conditions, which are used by consultants to provide tailored brush and weed management recommendations, including guidance on herbicide treatment strategies. LandVisor™ supports ranchers in prioritizing management interventions to improve forage availability and grazing capacity on rangelands.

Technology

  • Cloud
  • Desktop/web-based application
  • GIS
  • GPS
  • Mobile app
  • Remote sensing

LandVisor operates as a mobile and web-based application that integrates geospatial (GIS) functionality and remotely sensed data to visualize pasture conditions. Users access interactive maps and indicators through an online interface to support assessment of forage resources and land characteristics.

Target

  • Farm advisors
  • Large size farms
  • Medium size farms

The technology primarily targets livestock producers, ranchers and farm advisors managing pasture-based production systems.

Business model

  • Fully free

LandVisor is provided as a fully free digital tool. Users can access and use the application without fees as part of Corteva Agriscience’s digital pasture management offerings.

Impact

LandVisor™ supports improved rangeland management by enabling identification of problem vegetation species and prioritization of brush and weed control interventions. By combining field observations with geospatial analysis and expert advisory support, the solution contributes to more targeted land management practices, improved forage availability and more efficient use of herbicide treatments.

Four Betters

  • Better environment
  • Better production

Sustainable Development Goals

  • SDG 13: Climate action
  • SDG 15: Life on land
  • SDG 9: Industry, innovation, and infrastructure
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Source: FAO AgriTech Observatory

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