we see
differently

about cropixel

We use AI and Remote Sensing and Optimize the Supply Chain of Grain Commodities. Our technology is based on proprietary AI algorithm and satellite imageries. We can provide reliable and scalable crop classification maps within one month of planting. For each crop type, we provide clients with timely intelligence on the historical and current status of planting date, emergence date, crop health, and area under harvest for any cropland area in NorthAmerica.

What is the problem?

In planning the agricultural industry strategy, gathering the necessary information about the map classification and crop classification has been one of the challenges of government agencies, insurance companies, and transportation companies. Crop classification and maps classification provides necessary information for crop management, Areas under cultivation, food security assurance, and agricultural policy design. Due to the increase in population, the expansion of cultivated areas, and the diversity of agricultural products, Traditionally, data collection has been complex. Therefore, the use of new technologies to collect information is already felt. Remote sensing .

We have clients from:

Crop Insurance Insudtry

Commodity Trading Firms

Insurance

Municipalities, Non-profits and Government

Storage and Transportation

cropixel solution

Modern agriculture is considered a Turning point in agriculture and strategic grain production. The availability of Satellite Images time series, with a concise, revisit time, and high spatial resolution, has excellent potential for crop classification in regions.

Satellite image time series enable the implementation of supervised crop classification schemes based on the comparison of the time series of the element to classify with the temporal signatures of the considered crops.

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