bioClass® Hyperspectral Technology - Ensuring SUSTAINABILITY through HIGH YIELD in the Food Sector
bioClassu00ae a non-contact non-destructive Artificial Intelligence driven chemical fingerprint machine vision technology, the most advanced solution in the world.
Reducing Food Waste.
Reducing Energy Waste.
Reducing Packaging Waste.
Ensuring Food Security.
Ensuring Consumer Protection from Natural and Criminal Food Security Threats.
Ensuring a Sustainable Future for Our Childrenu2019s Children.
According to the Food and Agriculture Organization of the United Nations (FAO), approximately one-third of the food produced in the world for human consumption every year is lost or wasted 1. This amounts to about 1.3 billion tons of food, which is worth about $1 trillion 2.
In addition, a report by the World Economic Forum (WEF) estimates that food loss and waste costs the global economy $936 billion per year 3. The report also states that overall, food systems cost society $12 trillion in health, economic, and environmental costs – which is 20% more than the market value of food systems
bioClass® hyperspectral food inspection system can help reduce food waste caused by spoilage during transportation and storage. By using this system, you can ensure that only high-quality produce is transported to processing plants and retail stores. This will help reduce food waste caused by spoilage during transportation and storage.
bioClass® hyperspectral food inspection system is a state-of-the-art technology that can detect and remove produce that will spoil over the supply chain journey by seeing the unseen. This solution removes waste in transport, processing, packaging, labor, power, and any other types of waste caused by transporting food that will go straight in the bin at the consumer end due to spoilage 1.
Our system uses hyperspectral imaging, which is a non-destructive technique that integrates the major features of imaging and spectroscopy. It enables the acquisition of both spectral and spatial information from an object simultaneously 2. The system captures both spatial and spectral information about products and inspects the morphology and chemical composition of the products at the same time 3.
By integrating our bioClass® hyperspectral food inspection system into their supply chains, companies can reduce food waste caused by spoilage during transportation and storage. This can lead to significant cost savings for companies. For example, a study by the Natural Resources Defense Council (NRDC) found that reducing food losses by just 15% would be enough to feed more than 25 million Americans every year 4.
In conclusion, reducing food waste is not only good for the environment but also makes good business sense. Your bioClass® hyperspectral food inspection system can help reduce food waste caused by spoilage during transportation and storage. By using this system, companies can save money while contributing to a more sustainable future.
Here are some additional links to facts and figures on food waste:
bioClass® hyperspectral food inspection system, it is a state-of-the-art technology that can detect and remove produce that will spoil over the supply chain journey by seeing the unseen. This solution removes waste in transport, processing, packaging, labor, power, and any other types of waste caused by transporting food that will go straight in the bin at the consumer end due to spoilage 4.
When transporting fresh produce, sustainability is about quality, not quantity. The industry needs to understand that detecting sub-quality produce at the farm gate removes multiple forms of waste such as packaging, transport, energy, man power, storage costs such as refrigeration, processing costs. By using your bioClass® hyperspectral food inspection system, companies can ensure that only high-quality produce is transported to processing plants and retail stores. This will help reduce food waste caused by spoilage during transportation and storage.
A huge and current threat to food security can be the very testing procedures set out to protect the consumer itself. As most food safety testing is expensive, time consuming and can only be carried out in labs. Daily whole container shipment are returned to their point of origin due to the failure of small samples to meet these criteria. The waste can be 40 tons plus in each shipment.
Automate and Controlu2019s bioClassu00ae systems can be implemented to automatically check and reject 100% of the shipment for toxin levels in nuts, mold in fruit including black mold on black fruit, ensuring healthy food doesnu2019t go to waste due to small, contaminated pockets of non-conforming materials. Early investment in this technology is reducing shipping, handling, food waste, hunger, energy consumption whilst ensuring consumer protection and food security protocols.
New findings are the first to calculate the level of food that goes uneaten in individual households. This waste has a clear economic impact, as well as effects on our health and the environment. Based on a recent study the average U.S. household wastes 31.9% of the food that its members obtain. Even the least wasteful household wastes 8.7% of the food it acquires.
bioClassu00ae technology seeing the unseen, automatically detecting levels of food freshness the human eye or traditional vision systems cannot. This enables producers to only send the freshest unprocessed produce to the consumer ensuring the longest shelf life thus reducing household waste and all other associated waste, packaging, shipping, energy etc.
Once graded, produce that is perfect in quality but may not survive the supply chain can then be redirected into other long life uses for example chopped and frozen, or used in prepacked ready meals that go through the shelf life extending retort process.
Ensuring optimal food usage at point of process to guarantee long shelf life of the food we produce guarantees the reduction in food waste without consumer intervention.
bioClassu00ae seeing the unseen. Next generation technology ensuring consumer, brand, and food security at every point of the food supply chain.
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