Sustainability and Environment

Software solutions for land managers, rural conservation funds digital and environmental consultants

Looking for a way to demonstrate quantifiable environmental benefits? Want to move from paying for practices to paying for outcomes? Need the outcomes to be independently measured, monitored, and verified?
Here is a new generation of automated tools for measuring, monitoring and verification of sustainability practices with remote sensing-based data and integration with farm management information system. Hassle-free for the farmer, cost-effective for the impact-oriented brands, scalable for the global supply chain.
Personalized agronomic advice

Need a scalable way to monitor, and measure farm management practices?

With remotely sensed data collection, FluroSense helps you fill in the "data holes" and verify precision data against the country and county-level statistics.
Crop management practice verification

Want to be confident in the reported application data?

Get independent verification of crop type, crop rotation practices, presence of cover crop, its area and biomass and the type of tillage practices that took place in the field.
Sustainability crop management practices

Have to benchmark operation data against government standards?

Demonstrate how your field applications compare with state or national standards (USDA/NRCS CMZ, AU State DPI, or NZ MPI) when reporting management and conservation practices.

Identify crop types and crop rotations to verify management practices at scale

FluroSense crop identification algorithms driven by models trained on remote sensing imagery and agronomic principles help you verify the cropping history of the field and the management practices followed in it including crop type planted in the field, percentage planted area, and the harvest date. You can access the data on a field, farm or region level and select areas for selective ground-truthing.

Crop type identification
Cover crop detection example

Verify the cover crop planting areas and tillage practices

FluroSense runs automated crop monitoring algorithms for current and previous crop seasons to estimate the rotation/cover crop type, percentage planted area and its health. Cover crop rotations are crucial for maintaining the nutrient balance of the field and contribute positively to the yields in the coming years. FluroSense modelling tools make it easy for you to estimate this nutrient contribution and monitor adherence to the best practices.

Benchmark nutrient applications data against government suggested levels

Compare operations data with site-specific variable-rate nitrogen recommendation based on scientific bio-physical crop models. The models use farm-specific management information (planting dates, crop types and rotations, and several years of weather data and modelling) to predict the crop biomass status and nutrient requirement at any point in the past two seasons. So when the reporting time comes, you know how your applications rate compares to scientific guidelines.

Nitrogen recommendations
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Find out what the world's most powerful agronomic analytic engine can help you move from monitoring practices to delivering outcomes.