We would like to spot your attention to a very specific farm management system designed purely for the needs of agricultural companies involved in land cultivation – this system is Cropio farm management.
It is specific due to the fact that it is based on satellite technology that generates numerous opportunities for the improving performance and decision making in agricultural companies.
Now in a bit more detail: the most important aspect of Cropio farm management is the data you can automatically obtain from the field in close to real time manner:
– images of your fields;
– non-performing fields and zones on fields;
– soil moisture at three different depth levels;
– VRA recommendations;
– Individual field weather forecasts;
– Harvest estimates.
We reviewed some of the most practical features of the Cropio farm management system to give you a realistic understanding of how helpful or useless could it be for your farm.
Field maps and images.
Cropio farm management keeps a variety of maps and field images based mostly on the satellite images, among them:
- High-resolution field images in natural colors (to observe stripes and define reasons for bad vegetation on the field;
- Vegetation images of the fields (for vegetation control and identification of non-performing fields and zones on the fields);
- High-resolution relief images (to create a drainage maps);
- Slope maps (to assess the slope impact on the field productivity);
- Shape and crop maps (for field management purposes);
Record keeping module.
Cropio is a “cloud based” technology and keeps all data in one place available from any point with internet access. It doesn’t matter whether you are in the office or in the middle of the field ― you can easily check all the operations carried out in the field (see the historical vegetation pattern); this function assess how fields are performing in comparison to other fields and what harvests to expect from each particular field.
The system generates precise weather forecasts for each individual field using data from public and private meteorological stations and localizing it based on the individual GPS coordinates of each field.
Cropio uses the base harvest forecast model and after receiving historical information from the company adapts it to the companies’ specific (land cultivation methods, crop varieties, fertilizer usage and other parameters). In the result, each company receives an individual forecasting model that educates itself base on new input entered into the system. We tested the forecast model using a base model only for 25 corn fields located in Colorado – the deviations are within 30%, but it appears to be a normal result for base model, and after localization it, drops down to a 10% or even 5% deviation.
Notification and reporting.
Users can configure the notification system in a customized manner to receive important weather, vegetation and other notification via email and mobile devices. This is very convenient on an operational level – when you receive a text message specifying that on field “xyz” there appears to be a non-performing zone or etc. Also, the system generates regular weekly and monthly reports providing a vegetation evaluation and changes in best and worst movers.