‘The confluence of ultra high resolution drone data, artificial intelligence and cloud processing will usher in a new era of decision making in farming, allowing diagnosis using remote sensing to become a reality’ Tristan Steventon
Diagnosis is the future, and it isn’t far off.
Right now we can put a drone up and identify species of weeds, the presence of insects, numbers of plants and the presence of disease.
We can quantify things that are visually different (radish, rye grass, other weed infestations).
Most importantly we can take action: put that file into your John Deere section/nozzle controlled spray rig for you to sort out, or spray it for you using spray drones.
If you want to do all this yourself, we can make that happen too (see our ‘Training and Integration’ Tab)
Artificial Intelligence Enabled Crop Scouting
We collect data from 1.5 mm/pixel through to 15 mm/pixel resolutions (incredibly high resolution: satellite data is measured in metres) and push the data through a cloud based image recognition library. Any issues identified are tagged and geo-located within the paddock. The agronomist can then receive a prioritised list of problem paddocks based on weed pressure, insect damage, disease presence, nutrient deficiencies or plant counts.
We use artificial intelligence to process the areas to detect specific weeds. This can then be sent to the spray rig to only spray the necessary areas. This can save thousands in chemicals.
Picture: Radish identified in canola
Cost, Yield and Profit Maps
Account for how much your variable rate program contributes to your bottom line.
We can map your input costs (N maps, spray maps, diesel use, lime, gypsum, deep ripping program etc) and quantify those inputs against your yield map.
This will allow you to view the cost / benefit of your program based on the current commodity prices as a ‘net profit heat map’ to assist future planning and inform your measures of effectiveness for different cropping strategies.
Picture: Yield heatmap