Silicon Collar looks at machines and humans at work in over 50 settings across industries and countries. On this blog I will excerpt many of those settings over the next few weeks. On Deal Architect I will excerpt more of the policy parts of the book.
Another hour south, in Salinas, Tyler Scheid explained the technology changes in an ancient industry tracing back to 6,000 BC:
"Scheid Vineyards is involved in almost every single value stream that you can have in a winery. We sell bulk grapes as well as bulk wine to other wineries. We do custom crush, so we have wineries bring their fruit into our winery, where we process it and then send it back as juice. We'll do custom winemaking all the way from field to bottle. And we produce our own brands."
“Knowing the details of what is in each gondola provides us a huge logistical benefit. In the past, it was a real challenge, especially when you're picking at night, to document the paperwork. Today, you wake up and you can immediately see how much fruit you picked from each field and how much is left. If you got a little bit higher yield than you thought you had, you could immediately start to make adjustments to your next schedule as well as plan to sell more fruit. Automating this data collection with yield monitoring is the next level of automation in harvest data capture that we’re looking to solve. You have the immediate benefits for managing the logistics of a pick, as well as having a yield map output that provides a wealth of information for managing the next vintage crop.”
“Scheid got more excited when he described how machines are helping with irrigation in a state where water is increasingly a major concern:
“Now, at every single ranch we have a weather station that captures rainfall, temperature, humidity, solar radiation, wind speed and direction. We have leveraged our onsite weather network for 20+ years, but just now are using this data to model plant stress and water status. We use a tool called Vintel, from a company called iTK, to do the modeling. It takes parameters such as root depth, canopy size, the major stages of plant growth, and helps us visualize our irrigation targets relative to modeled plant response. The modeling helps us gain more intelligence and value from our sensor assets.””
Photo Credit: Scheid