
AGRICULTURE & SORTING
Imaging is increasingly becoming an important technology in agriculture and food processing, enabling automated identification, sorting, grading, monitoring and analysis.
Imaging for Agriculture, Sorting and Intelligent Automation
Online Solutions provides imaging components and systems for agricultural and sorting applications, combining cameras, optics, filters, illumination, sensors and software according to the requirements of the application.
Application Areas
AGRICULTURE & SORTING




Automated Sorting
Image-based sorting and classification of agricultural and food products such as rice, grains, coffee, tea, sugar and other materials.




Quality & Defect Identification
Imaging systems for identifying variations in appearance, defects, contamination and quality characteristics.




Research & Crop Analysis
Specialized imaging for agricultural research, plant studies and analysis of crop characteristics.




Weed Detection & Removal
Vision and imaging technologies supporting research and development of automated weed identification and removal systems.




Agricultural Machinery
Imaging systems integrated into machinery for automated agricultural operations and monitoring.




UAV & Aerial Imaging
Imaging technologies for UAV-based applications including agricultural monitoring, analysis and other automated operations.




Multispectral & Specialized Imaging
Applications requiring information beyond conventional visible imaging can use infrared, multispectral and other specialized imaging technologies depending on the objective.




Integrated Agriculture Solutions
Online Solutions can support application development with imaging components, optical systems, illumination, software, technical consultancy and system integration.




Technologies That Enable The Solution
Explore Products →Knowledge & Resources
Explore Resources →Agriculture

Imaging-Based Grain Sorting
High-speed imaging using line sensors or line-scan cameras, combined with FPGA-based processing and synchronized ejection mechanisms, enables automated grain inspection and separation based on colour, shape, size and defects. Benefits: Improved sorting consistency, higher throughput, reduced manual effort and better product quality. Read More
Multispectral Imaging for Agriculture
Drone-based multispectral and thermal imaging combines RGB, red-edge, NIR, SWIR and LWIR data to assess crop health, vegetation stress, moisture-related patterns and surface temperature. Benefits: Better crop monitoring, support for irrigation decisions, early identification of potential stress and more informed agricultural research. Read More
Have an Imaging Challenge?
Tell us what you need to see, measure, identify, inspect or analyse.
Let's engineer the imaging approach.