SpecTOM

Problem Addressed

In precision agriculture, challenges include data management, sensor accuracy, and cost efficiency. Understanding the maturation status of fruits is crucial for optimizing harvest timing, enhancing quality, and minimizing waste of food and resources. This knowledge plays an important role in enabling targeted interventions such as precise irrigation, fertilization, and pest control.

Current methods in use, as remote sensing and IoT devices, have limitations, including challenges in data interpretation and inconsistent accuracy. As a result, these methods are not widely adopted and make real-time decision-making difficult.

This creates an opportunity for efficient and accurate non-destructive fruit quality characterization in modern agriculture.

Technology

Our solution is SpecTOM, a non-invasive spectral 3D reconstruction system that can analyze the internal structures and chemical compositions of fruits.

The system uses a fiber optic probe on the sample's surface and a data processing algorithm powered by artificial intelligence. Collected spectral data is used for a multi-scale metabolic tomographic diagnosis directly on live fruits, allowing for real-time identification of critical physiological parameters. Although originally designed for crops like tomatoes and vines, SpecTOM can be used across vast cultivation areas.

SpecTOM's seamless integration into existing robotic systems paves the way for cost-effective and high-throughput molecular diagnosis throughout the fruit production, distribution, and consumption value chain.

Advantages

Cost Saving - Cheaper than laboratory tests and reagents free

Fast - Faster than laboratory tests

Long term monitoring - Precise monitoring through time

Portable - Handheld or integrated in other equipment

Versatile – Can be used for different crops

Possible applications

In Precision Agriculture, it improves production scheduling and optimizes harvest timing

In Quality Control, it ensures fruit quality and minimizes spoilage

• Quality control
• Maturation assessment and characterization
• Pest control