Advanced Analytics for the Seed and Grain Markets
Transforming inspection and process management with machine vision and digital analysis
Transforming inspection and process management with machine vision and digital analysis

AI-powered machine vision captures and analyzes high-resolution images to automatically detect, measure, and classify grains, seeds and powders with speed and precision.

Imaging analytics transforms captured images into detailed measurements and quality metrics such as size, shape, and color distribution. Advanced algorithms extract precise insights from every sample in seconds.

Structured image data and statistical reports provide reliable insights that support faster, evidence-based decisions across the grain and seed supply chain. These insights help improve quality control, research, and operational efficiency.

Advanced imaging analytics provides objective visual measurements to support quality control and product consistency in food and beverage production. Rapid image-based analysis helps manufacturers detect irregularities and maintain high standards in raw materials, process and final products.

Imaging analytics enables researchers to analyze seed and grain traits such as shape, color, and morphology with high precision. This phenotyping data supports faster plant breeding, crop research, and the development of improved agricultural varieties.

Automated imaging systems analyze rice samples to measure broken rice, grain shape, and color characteristics quickly and objectively. This helps rice mills improve quality control, grading accuracy, and operational processes leading to increased efficiency.

Imaging analytics evaluates wheat and other grains by capturing detailed visual data on kernel morphology and sample composition and contamination. The resulting insights help processors optimize grading, quality assessment, and production consistency.

Advanced imaging technology analyzes seeds and pulses to measure size, shape, color, and defects with high accuracy. This enables rapid, objective quality assessment for incoming material inspection, process control and outgoing material quality control and compliance.

Imaging analytics evaluates the overall visual characteristics of powder samples and analyzes their statistical distribution across the bulk sample. The system measures color distribution and detects contaminants, providing a reliable tool for each step in the manufacturing process.

Vibe Imaging Analytics provides the world's leading visual analysis solutions for commercial grading, quality and yield enhancement for all kinds of grains and seeds, including rice, wheat, quinoa, soy bean, flour and powders.
The Vibe range of solutions have been developed specifically for users in the seed, rice, grains, and food ingredient market segments. Their core technology is comprised of machine vision and learning, data analytics and application knowledge.
Based in Shanghai, China, JES Analytics partners with leading Chinese and international technology companies to bring advanced analytical solutions to the global seed and grain industries.
Our focus is to enable organizations across the agricultural value chain to accelerate research, improve crop performance, enhance productivity, and ensure compliance with internationally recognized quality standards.
Through the integration of machine vision, advanced analytics, and precision instrumentation, we help our customers transform traditional processes into data-driven, highly repeatable, and measurable workflows.
The solutions we deploy enable customers to digitalize, visualize, and optimize critical processes across the entire seed and grain lifecycle.
JES Analytics is continuously identifying and evaluating innovative technologies that can deliver measurable improvements to seed, grain and fanalysis.
We actively seek partnerships with companies developing solutions in areas such as:
Our goal is to build a complementary ecosystem of technologies that together provide customers with enhanced capabilities and value.