Color is one of the driving consumer acceptance factors when it comes to fresh produce. Everyone wants the reddest strawberries, the sunniest yellow lemons, and the broccoli is always greener on the other side of the fence. So how do growers and retailers make sure they’re producing the fruit and vegetables customers desire? Visual inspection is the number one way consumers select their produce - obviously, most of us aren’t bringing a quality control toolkit to Loblaws. At the grocery store, consumers pick the best-looking produce and carry on, so uniformity and consistency are critical.

An artificial intelligence approach to the apple industry’s most common quality test

Croptracker is proud to announce the launch of Starch Quality Vision; the latest artificial intelligence assessment tool for apple growers. Starch Quality Vision (SQV) technology empowers orchard managers and apple growers to empirically and accurately score starch pattern index (SPI) tests without the need for a trained assessor.

Computer vision may seem simple enough to understand, but below the surface, it is a complex and multidisciplinary field, tied up with a variety of technologies, both old and emerging.

Every year, wildfires wreak havoc on farms, causing extensive damage to crops, livestock, and infrastructure. With the increasing frequency and intensity of wildfires over the last decade, many farmers are embracing wildfire-resilient agricultural practices to mitigate risk and losses. By taking proactive measures, farmers can minimize the risks associated with fires and protect their livelihoods in the event of an emergency. In this article, we will take a look at some key strategies and practices that farmers can implement to enhance their wildfire resilience and safeguard their farms.