AGRICULTURE
See the health of every field from your phone using satellite imagery, drone data, and ground sensors combined into actionable maps.
Every strong product starts with a deep understanding of the market, the users, and the problem worth solving. We invest focused effort in researching your domain, competitive landscape, and business objectives before a single line of code is written.
THE BLOG
CHECK OUT SOME OF THE MOST COMMON QUESTIONS
Talfu technology is committed to empowering people of determination by providing assistive technologies and integrations through an exclusive partnership with the AccessAbilities Expo, One of the largest exhibitions dedicated to empowering people with special needs in the world!
Talfu Technology
Technology Partner of The AccessAbilities Expo
NDVI and other vegetation indices flag stressed zones days or weeks before problems are visible to the eye, giving you time to diagnose and treat.
CORE CAPABILITIES
Let's check what features we can integrate into your custom solution. Didn't find them on our list? Contact us personally, and we will offer you a custom set of features for your application development project.
Automated ingestion of Sentinel-2 and Planet imagery with cloud masking and NDVI/NDRE index calculation updated every few days.
Upload drone imagery and receive orthomosaic maps, elevation models, and high-resolution vegetation indices within hours.
Connect soil moisture, temperature, and weather station data to the platform for ground-truth validation and irrigation scheduling.
Create variable-rate application maps exportable to John Deere, AGCO, CNH, and Trimble precision agriculture equipment.
Automated detection of planting, emergence, canopy closure, and maturity stages using temporal image analysis.
Scouts mark observations, take photos, and record pest/disease findings with GPS tags that link back to the field map.
Improvement in average yield
Reduction in scouting time
Less crop protection product used
Link crop monitoring data to your equipment and farm systems.
Remote sensing data sources.
