AgIntel - Elders Rural Services

AgIntel by Elders

AgIntel by Elders is a powerful monitoring tool Elders’ Advisors use to help producers monitor their crop health at a paddock level – it’s a comprehensive satellite imagery service. With AgIntel, we can track changes over time, monitor crop growth for harvest and yield predictions, even detect areas of stress within your paddock and plan remediation.

Save time and achieve more focused results by enhancing your precision agriculture journey with the Elders Smart Farmer Program and AgIntel.

How does AgIntel help?

  • Make the most of field visits, knowing where to spend the most time.
  • Better target inputs to spatial and temporal needs.
  • Your Advisor can remotely monitor your situation from their device and share insights with you digitally. Reducing demand on your time and potentially reducing field visits.
  • Best practice and new insights, cutting edge technology. Leading to higher yields with lower production costs.
  • Data for precision agriculture practices including variable rate sowing/planting, fertilising, spraying, weed control and irrigation.
  • Archived data for valuations and insurance needs.
  • Reduces uncertainty, early warning and allows for scheduling farm activity.
  • Decisions can be made quicker, as insights will be available long before the naked eye would see, allowing a proactive approach to managing abiotic and biotic stresses.

Agent and client with ipad

AgIntel in action

Brian Lynch is a senior Agronomist at Elders Loxton. Brian explains how AgIntel works and how he uses it to monitor areas within paddocks to assess crop performance and thereby maximise returns for his clients. By adopting AgIntel Brian can stay ahead of the game throughout the season.

Discover how AgIntel is saving farmer Russell Moloney money and maximising productivity on his broadacre cropping property. 

What’s your next step?

To start exploring the benefits of precision agriculture through the Elders Smart Farmer Program, contact our AgIntel experts using the form below.

Example of a graph from AgIntel program

AgIntel heatmap



  • The imagery is taken from ESA’s Sentinel 2 satellite.
  • A quality control step of processing out atmospheric affects to ensure consistency between image updates. Not all imagery providers do this.
  • This creates the source of quality-controlled data that is processed further by specific algorithms to create spectral indices that monitor defined agricultural issues.
  • NDVI is the best-known spectral index currently used.
  • Full cloud cover can limit the satellite optical imagery.
  • AgIntel’s approach is to fuse the data from various sensor types.
  • New satellite images of a farm are collected as frequently as once every five days. This increases the likelihood of capturing a cloud free image.
  • AgIntel doesn’t process the image if it has more than 95% cloud cover. It deselects the images that are cloudy to reduce unnecessary processing time.
  • AgIntel uses validated, state-of-the-art algorithms to atmospherically correct and prepare the data prior to calculating indicators (spectral indices), ensuring accurate and valid results.
  • All processing is grounded in scientific principles and backed by a body of research.
  • Strict verification and validation is applied to all development.
  • Satellite imagery can see things our eyes cannot. It does this by using wavebands. AgIntel has various sensors operating in various wavebands, which allows for the different insights.
  • AgIntel offers 16 indices.
  • For example, detecting things of interest and classifying what’s on the ground
    • Electromagnetic spectrum = big
    • Bandwidth of visible light = low
    • For example, the phenomena known as ‘Red edge’ is the region of rapid change in reflectance of vegetation in the infra-red range of the electromagnetic spectrum.  Chlorophyll contained in vegetation absorbs most of the light in the visible part of the spectrum but becomes almost transparent at wavelengths greater than 700nm. The phenomenon accounts for the brightness of foliage in infra-red bands and is extensively utilised in the form of spectral indices.
  • Plant senescence indicator. Indicates potential ageing of vegetation.
  • Normalised Difference Vegetation index (NDVI) is a measure of live green vegetation.
  • Canopy indicator. Reference of crop growth and tool to help measure crop canopy and structure.
  • Leaf redness indicator. A measure of foliage development and ratio of anthocyanin to chlorophyll.
  • Additional vegetation indicator. Another tool to help analyse vegetation growth.
  • Optimised vegetation indicator. Use instead of NDVI when looking for small changes.
  • Soil indicator. Looking for presence of exposed clay minerals.
  • Soil indicator. Looking for presence of exposed iron oxides.
  • Soil Indicator. Looking for iron-bearing minerals on top soil.
  • Additional canopy indicator. Additional tool to help measure canopy and structure.
  • Surface water indicator. Indication of flooding, leaking pipes and low lying areas.
  • Canopy greenness indicator. Additional support for crop health over NDVI.
  • Water indicator. Use to map bodies of water in paddock.
  • Adjusted vegetation indicator. Use when soil to crop ratio can be high.
  • Vegetation index for tall crop with larger row spacing.
  • AgIntel is a product offered by a company called D-CAT, a Scottish-based Information Services Company.
  • D-CAT have extensive expertise in image processing and fusing data from many types of sensors.

For more information contact our AgIntel experts.

Enquire now