PRODUCTSANUS PLANT DIAGNOSTIC SYSTEM

Detects deficiencies affecting plants before the first visible symptoms appear.

You can react appropriately early on by selecting fertilizers, mitigating the negative impact of the deficiency on yields.

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How SPDS works?

SPDS introduces an innovative method combining machine learning (ML/AI) with chlorophyll fluorescence measurements.

We measure chlorophyll fluorescence signals in plants.

These signals are intrinsically linked to photosynthesis, the fundamental and highly sensitive biological process in plants.

Measured data is transferred to our ML/AI Engine.

It runs classification models to categorize measurements into relevant classes, determining the specific stressor affecting the plant.

We generate the map of fertilization recommendations.

Based on the recommendations from the AI/ML Engine and measuring device we generate the map of fertilization recommendations.

Presentation on a web service.

It is presented in the attractive interface on a web service.

Benefits and functions

An innovative diagnostic system that enables.

BENEFITS

Identifying plant nutrient deficiencies before the first symptoms appear.

Constructing of a precise map of deficiencies in the entire field.

Recommending of the optimal fertilization strategy.

FUNCTIONS

ML/AI engine, identifying deficiencies and recommending fertilization.

Mounted on agricultural machinery non-invasive Measurement set.

Online platform placed in the Cloud, integrated with the software.

Solution to current global issues.

We contend that the current moment is opportune for our solution, especially as several of described challenges have escalated to a global scale, affecting sectors like food production expenses, food accessibility, and environmental contamination.

SPDS possesses the potential to confront and mitigate many of these concerns, marking a substantial contribution to the global community.