AGROVAR CC – THE SOFTWARE SOLUTION FOR SMART REGENERATIVE AGRICULTURE
One solution for the future of REGENERATIVE AGRICULTURE
We give context to your agronomic data and help you make the right decisions at the right time.
Agrovar software provides recommendations to our customers on how to use cover crops and regenerative practices to improve their soil health, sustainably maintain their yields and reduce costs with less impact on the environment.
THE PROBLEM
There are a number of sources of information on the principles of regenerative agriculture, but starting to successfully apply them at the farm level remains a mystery to most farmers. More than 88% of farms experience difficulty in the first 3-5 years of their introduction.
Among them, 96% cited mistakes made during this period as the main driver for improvement, and 62% chose the gradual introduction of various practices to minimise adverse opportunities.
THE SOLUTION
The software we have created allows you to make informed decisions about cover crops for your areas, managing the risk of choosing inappropriate crops and mixes according to soil and microclimate conditions.
What makes AgroVAR CC unique
Our proprietary AI technology analyses over 2,000,000 data points for each field.
The recommendations we give are based on historical macro and micro climatic information, soil analyses and agronomic information for each individual farm.
YOUR FIELDS
SELECTION OF SUITABLE COVER CROPS
SELECTION OF APPROPRIATE PRACTICES
MICROCLIMATE ASSESSMENT
AgroVAR CC
How does our AI work
SELECTION OF PRODUCTS
Step
YOUR FIELDS
Draw your fields in your account and put information about the crop rotation and tillage method
Step
MICROCLIMATE ASSESSMENT
According to the geolocation of the fields, we determine the microclimatic trends that are decisive for
Step
SOIL FERTILITY ASSESSMENT
Our proven methodology for determining soil health and fertility analyses 27 different soil components and processes
Step
SELECTION OF SUITABLE COVER CROPS
After analysing the data, the software will make a recommendation for priority goals and for the most suitable mix of cover crops to focus on to improve their results.
Step
CALCULATING THE EFFECT OF THE MIX
The software analyses satellite images and uses predictive algorithms to track crop progress
Step
SELECTION OF APPROPRIATE PRACTICES
After analysing the data, the software will give a recommendation for appropriate practices that would reduce erosion processes and climate pressure on the soil
Upcoming Q1 2023
Step
SELECTION OF PRODUCTS
After analysing the data, the software will give a recommendation for suitable organic products that would completely or partially replace mineral fertilisers and pesticides and would have a positive effect on soil health and biodiversity
Upcoming Q3 2023