Pix4Dfields beta launch hero

Software dedicated to drone-mapping in agriculture

One product for all of your drone-based agricultural workflows.

It's no surprise that agriculture is one of the biggest — if not the biggest — industries in the world. After all, every living person on this plantet relies on the food produced by the agricultural sector. The progress in this industry has gone beyond what we could have imagined, combining drones, sensors, machine learning, mathematical algorithms, and advanced analytics.

That's why we're happy to annouce Pix4Dfields: one product to give you fast and accurate maps while in the field, with a simple yet powerful interface fully dedicated to agriculture.

“Our solution fits the needs of the agriculture industry and we believe Pix4Dfields will become a staple tool, just like a meter is for a construction site worker”, says Christoph Strecha, Pix4D CEO

When we decided to create a product for agriculture, we wanted to go beyond the research and development and create a product that understands agriculture. So in July 2017, we opened a new office in Berlin fully dedicated to do exactly that: understand the agriculture industry, listen to our users, and create a product that caters to all the main agricultural practices.

That’s why we are happy to announce Pix4Dfields today

Equipped with a new fast processing that provides accurate and instant results and an easy-to-use interface with tools tailored to agricultural workflows, our users will be set to cover everything from simple to complex scenarios.

Infographic demonstrating how Pix4Dfields marries in-field and in-office analysis

Essentially, the idea behind Pix4Dfields comes from two observations: the need to produce accurate, repeatable measurements of crop health and the need to produce results efficiently and rapidly in the field, while performing more detailed analysis in the office. Both of these factors are essential to support decision making of the farmer, agronomist or the breeder.

Discover Pix4Dfields
Aerial crop analysis for digital farming.

Related articles