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.

As AI becomes increasingly ubiquitous - it’s in your phone, it’s tagging your photos, it’s selling you t-shirts on Instagram and it’s even delivering your food - questions about the role artificial intelligence should play in our daily lives, and what it is that really sets us apart as humans have been coming up more and more.