Industrial Vision Systems for the Agricultural Sector

Industrial vision integrated into the Agricultural sector

The agricultural sector is characterized by high natural variability of products, which makes it complex to identify products in the field and select them according to objective criteria of ripeness, integrity, and appearance.

Differences in shape, size, color, and surface are intrinsic to agricultural raw materials and require inspection systems capable of adapting and learning in a way similar to a quality operator trained in the field.

In addition to the complex visual characteristics of agricultural products, operating environments are often challenging, with the presence of dust, humidity, and variable lighting conditions.

In this complex context, Specialvideo takes on the challenge of automating historically manual processes through computer vision, while ensuring objective and repeatable inspections.

Applications for quality control and automated harvesting of agricultural products

There are traditional machine vision solutions that enable automatic checks on sorting lines, but Specialvideo also offers artificial vision technologies to automate field harvesting of agricultural products.

In this pioneering field, we have conducted computer vision studies applied to robotic harvesting of fruits and vegetables and to selective treatment on individual plants:

  • Avoiding the harvesting of products that should be discarded
  • Allowing unripe fruits or vegetables to remain on the plant for later harvesting
  • Monitoring the health status of leaves, buds, and fruits
  • Optimizing targeted treatments on individual plants or specific plant parts

With a collaborative and experimental approach, Specialvideo technicians support customers from the earliest stages of cooperation with agronomists and mechanical automation experts in the agricultural sector.

We design industrial vision systems serving automated agricultural processes, focusing on efficiency and respect for the natural production environment.

Machine vision guides the robot in recognizing the position and orientation of products, even in the presence of irregular arrangements or non-uniform shapes. This approach enables reliable handling of delicate and variable products, increasing the flexibility of automated lines and reducing dependence on manual operations.

Inspection data management and traceability

Industrial vision systems generate useful data for monitoring and improving agricultural processes. Inspection results can be collected and archived, enabling a structured overview of production and quality performance.

The availability of inspection data supports trend analysis over time and the identification of process criticalities, contributing to more conscious and controlled quality management.

A special machine vision application supporting biological pest control

Specialvideo has developed a vision system for counting beneficial insects used for biological pest control.

The need to reduce or eliminate the use of pesticides has led more and more farmers to rely on biological control, both for improved product quality and reduced environmental impact.

The system developed by Specialvideo frees the human operator from the repetitive task of counting insects passing through the transparent suction tube before being collected in dedicated containers for distribution.

The software can manage different insect species and adjustable airflow speeds. This is an essential requirement, as airflow speed must be carefully regulated according to the insect type.

For more information, you can read the case history of the vision system for counting beneficial insects.

The software can manage different insect species and adjustable airflow speed. This is essential, as the airflow speed must be carefully adjusted based on the type of insect.

For more information, you can read the case history of the vision system for counting beneficial insects

Request information: free quote with feasibility study on samples