‘if you’re interested in picture ag, then we aren’t the right people for you’

Call PCT when you’re ready to go places with data

 

 

Production layers are collected each crop and provide information about the crop while its growing and how it yields.

Production data is impacted by many things including, history, climate and decision-making.

The chasm still exists here for many agronomists and growers which is the decision-making process.

 

Base layers such as soil and terrain provide stable information from crop to crop.

While both these stable layers can be ‘manipulated’ it does come at cost.

Analysis of these layers with production layers leads to well evaluated cost benefit scenarios and where the most gain is made using spatial data.

 

Examples

Yield Layers

Once yield data is corrected and processed properly we can deliver additional layer such as Revenue and Nutrient Uptake layers for N, P, K, Zn and S.

Yield data can also contain information to asses productivity and fuel usage to compare machines and operators.

 

Crop Sensing Layers

Yes we have them all

Planting Layers.

Planting data allows us to assess the variation right from the early stages of the crop life. Is variability being seen in NDVI and yield going right back to poor planter performance. Are multiple machines placing the same seed and fertilizer quantities in the right spot.

Growers with precision planters will get additional layers such as ride and downforce.

Also make sure trials did happen and analyse different varieties.

Terrain and Soil

Observe data quality and build important derivatives from Elevation data such as Slope, Aspect, Landscape Change, Directional Slope, depression and error from plane.

Soil chemistry layers provide insight to nutrient variability. Nutrient layers can be surfaced from either zone samples or grid survey sample for those customers in the US and NZ.

Even if you do one sample in a field and want to create a layer to use in our powerful equation based app it can all be achieved by PCT.