There’s more than one agriculture growing season in certain regions, which directly depends on artificial irrigation. Our clients needed to boost the efficiency of their artificial irrigation calculations. They asked for a solution to determine essential agricultural aspects quickly and easily. DICEUS team developed a unique algorithm based on the SAR data that could determine the soil moisture at a national and even worldwide scale.
To improve the data collection and provide better crop yield, DICEUS, together with its partners, has designed a system to collect data. It calculates the needed amount of pesticides, collects visual information, and analyzes all the available data according to previous results.
In 9 months, the DICEUS team has provided the client with a drone application for agricultural surveys. It has many functions that manage to solve many existing issues. The app has a Soil Moisture index that helps save water, reduce energy costs, increase yields, protect the environment, and forecast investment in artificial irrigation to assemble their investment models with the most accurate data. Thus, our clients increased their profit and made the work process much more convenient.
Normalized difference vegetation index is used to analyze remote sensing measurements.
No more difficulties with fertilizers’ scheduling and calculation.
It improves the soil quality and increases the chance of a good harvest.
You can now quickly analyze the soil quality and its individual fertilization requirements.
You get organized farm data with a visual timeline to view aerial maps, track weather conditions, and share critical crop data.
Drones operation allows to capture essential data and analyze it according to all the available statistics.
The Soil Moisture index helps save water, reduce energy costs, increase yields, and protect the environment.