Soaring temperatures, irregular rain patterns and the ever-present threat of fires is causing winery owners here and around the world to adopt aggressive strategies to safeguard their livelihoods. These tactics include experimenting with new varieties of grapes, finding new ways to maximize water use and even seeking out land in areas that formerly were too cold for vineyards.
A company is developing a computer vision system to estimate vineyard crop yield with the collaboration of UC Davis scientists. On Friday, Nathan Strong, president and chief executive officer at Terroir AI in Menlo Park, demonstrated the system at UC Davis’ Oakville Station. Strong installed a box containing four sensor cameras in the back of the station’s ATV, the cameras adjusted for the high-wire trellis system of the experimental block.