Ai/ml - Articles - Page 4 | Food Engineering

Artificial intelligence built into vision systems

AI: Behind-the-Scene Partner in Process Applications

Rather than apply AI/ML in one big fell swoop, why not choose applications that use AI to make them more efficient and build from there?

Wayne Labs

June 7, 2023

AI is a must to improve process quality, save energy and maintain equipment.

Automation Trends: From Buzzwords to Real Needs

Automation will solve many problems—but not without people supporting it.

Wayne Labs

March 13, 2023

Processors are adopting new technology today to remain competitive and to get an edge on the competition.

Automation/Robotics

New Tool to Drive Productivity Improvements on Manufacturing Lines

February 27, 2023

The MELSOFT MaiLab was developed to support different application scenarios and can be tailored to individual setups.

AI

JBS USA to Implement Völur's AI Solution to Maximize Carcass Value

January 31, 2023

The proof-of-value phase will run for six months JBS USA's Hyrum, Utah plant.

Food Loss & Waste: It’s Everywhere in the Supply Chain

Food loss and waste (FLW) happens on every-level in the supply chain. The impacts of FLW are devastating and, thankfully, can be avoided through swift and direct action on every level.

Wayne Labs

November 28, 2022

While there are so many places for food loss to occur, a smarter supply chain could help alleviate some of it.

Engineering R&D

AI/ML-based real-time sensing techniques turn art of winemaking into exact science

Based on online and inline real-time sampling developed by the FDA, a specialized process control system prevents waste and minimizes injuries

Wayne Labs

July 12, 2022

Based on online and inline real-time sampling developed by the FDA, a specialized process control system prevents waste and minimizes injuries.

AI in process control

A process is only as good as the technology behind it

Kristen Kazarian

June 6, 2022

AI use in food processing is expected to have a compound annual growth rate of 45% between now and 2026, promising improved safety and food quality, according to HUB Risk Services. But AI in food processing is not without risk.

Artificial intelligence/machine learning reduces mistakes and waste

AI/ML systems not only use vision to guide robotics in pick-and-place, but also can simultaneously make intelligent quality decisions

Wayne Labs

May 9, 2022

Good data—and lots of it—is key to making artificial intelligence/machine learning (AI/ML) production, inspection and packaging systems work without a hitch, plus well written algorithms to analyze the data and make decisions that will help people and machines function more intelligently.

Miguel Patricio, CEO at Kraft Heinz (left) and Matias Muchnick, Co-Founder and CEO at NotCo

Scaling up plant-based products with artificial intelligence

This Kraft-Heinz/TheNotCompany, Inc. joint-venture has both the smarts and the manufacturing capabilities to push creative new alternative proteins to market

March 30, 2022

The Kraft Heinz Company and food tech start-up TheNotCompany, Inc. announced a joint venture designed to reimagine global food production and advance toward a more sustainable future.