Food Grading: What Does It Really Mean?
Date Section Blog
Food grade classifications are often misunderstood, with many associating them solely with labels on packaged goods in grocery stores. These labels, commonly seen on consumer-facing products, are frequently used for marketing purposes and do not necessarily reflect the actual safety or quality of the food.

Depending on the stage of food processing, food grading takes on a different meaning, focusing more on assessing quality in manufacturing rather than marketing. Below, the true meaning(s) of food grading is broken down and defined throughout the full journey from farm to factory to fork.
What Is Food Grading?
Food grading is the process of inspecting, evaluating, and sorting food products based on a variety of factors. These factors include quality, freshness, compliance with regulations, and market value. The grading process varies depending on the stage in the food supply chain as well as country-specific regulations.
While many of these inspection processes are still performed manually, a boom in innovative technologies is emerging to address labor shortages and meet the growing demand for food.
Food Grading in Farming

Grading begins at the farm level, where food products are assessed for initial quality. Early grading focuses on factors like size, ripeness, color, and occasionally flavor. For example:
- Fruits and Vegetables: Grading is based on size, color, and ripeness. A USDA “Extra Fancy” apple (the highest grade), for instance, will be free from blemishes, properly sized, and ripe for consumption.
- Grains and Seeds: Grains and seeds are evaluated for purity, size, and absence of foreign materials or defects.
- Meat and Poultry: In the case of meat, grading may focus on breed, age, fat content, and overall health of the animal.
While farmers traditionally assess these factors, emerging technologies such as robotics and AI are now being developed to monitor crops and livestock for wellbeing, and even automate tasks like harvesting.
Food Grading in Processing and Manufacturing

Once food reaches the factory, the grading process continues. Products are sorted, cleaned, and categorized based on specific criteria essential for processing. These factors can include texture, consistency, size, and appearance, depending on the food type. Contaminants and defects are also identified and removed.
- Fruit and Vegetables: Produce is graded for size, color, and firmness to ensure consistency. AI-powered optical sorters detect defects, remove contaminants, and separate substandard items for processed foods like canned goods and packaged salads.
- Beverages: For beverages like juices or bottled drinks, grading can include checking consistency, color, and clarity to ensure uniformity across production batches.
- Dairy: Dairy products are often graded for fat content and consistency to meet regulatory standards and ensure quality control.
In modern facilities, technologies like optical sorters, AI-driven machine vision, and robotics are increasingly used to automate industrial food sorting and grading. These technologies help identify and remove defective or spoiled products to maintain high quality during production.
Food Grading on Packaging

In stores, food grading generally refers to the use of labels that indicate the quality of packaged goods for marketability purposes. These grades are voluntary and paid for by the production facility rather than mandatory compliance for food safety.
- Meat Grading Labels: Poultry and beef grading categories include voluntary USDA grades such as Prime, Choice, or Select, which indicate marbling and tenderness.
- Dairy Grading Labels: Similarly, dairy products like butter may be labeled with grades based on flavor and texture.
These labels help consumers differentiate between quality levels but do not affect the safety of the product—even lower-grade foods must still meet basic safety regulations before being sold to consumers.
Food Grading vs. Food Safety
Food grade classification differs from food safety in purpose and regulation. Grading assesses product quality, while food safety regulations ensure food is free from contaminants and safe to eat.
Food grading is typically voluntary and focuses on appearance, size, texture, and taste. A pear processing company, for example, uses grading systems to maintain product quality and consistency to build consumer trust. Food safety regulations are mandatory and address microbial contamination, chemical residues, and handling practices.
For example, beef grading under USDA standards (such as Prime or Choice) follows a structured food grading scale based on tenderness and marbling, while food safety regulations ensure the beef is free from harmful bacteria like E. coli.
Key Food Grading Systems
Food grading systems vary by product and country, with each using a distinct food grading scale to classify quality. Several key systems are widely used across the globe.
USDA Grading (United States)
The USDA is perhaps the most well-known grading body, especially for meats and produce. For meats like beef, the USDA offers grades based on marbling and tenderness. For fruits and vegetables, the USDA uses grades like U.S. No. 1 to indicate quality.
EFSA (European Food Safety Authority)
In Europe, the EFSA plays a crucial role in food safety and regulatory standards, though individual countries have their own grading systems for products like fruits, vegetables, and dairy. For example, France has the Label Rouge certification, which denotes superior quality for poultry and other food products.
Global Grading Systems
Many countries have their own grading standards. Japan has a unique grading system for wagyu beef, focusing heavily on marbling and visual appeal. Canada has an extensive grading system for maple syrup, classifying it based on color and taste into four categories to help consumers and manufacturers choose syrup for different culinary applications.
Raising the Standard: The Tech Behind Modern Food Grading
As technology continues to evolve, food grading is becoming more efficient and precise. AI and robotics are transforming the way food is graded, providing faster and more accurate results than traditional methods.
Unlike older grading technologies that rely on simple weight and size measurements, modern AI-driven 2D vision systems allow machines to analyze high-resolution images of food products in real-time. By training on vast visual datasets of graded food, AI can recognize subtle variations in color, texture, and defects that traditional sensors would struggle to detect.

In farming, cameras integrated with AI software and sensors monitor crops to detect optimal ripeness, disease, or imperfections before harvest. This reduces waste and ensures only high-quality produce moves forward for processing.
In manufacturing, optical sorting machines equipped with advanced sensors evaluate products at high speeds, analyzing size, color, and shape to remove defective or contaminated items automatically. These systems enhance consistency and safety, minimize human error, and allow for higher throughput in food production facilities.
With these advancements, AI and machine vision are improving grading accuracy and helping industries scale operations efficiently, addressing labor shortages and increasing demand for precision in food processing.
From Farm to Fork: The Role of Food Grading
Food grading ensures quality at every stage, from farms to factories to stores. It assesses factors like appearance, texture, and consistency, helping producers meet standards and consumer expectations. While grading is separate from food safety, both play vital roles in maintaining trust in the food supply.
As AI and automation refine grading processes, accuracy and efficiency continue to improve. These advancements not only enhance quality control but also help industries scale. Food grading is not just about maintaining quality—it is about delivering better products from farm to fork.