NextGen VIT is sculpting the new face of what we’ve termed VIT 2.0, a next-generation business, viticulture and technical model for cultivating successfully in the new Wine 2.0 world. We will be periodically publishing complimentary white papers which share aspects of this model with you.

Our first white paper is part one of a series on improving crop estimates through the application of statistical methods and technology. Most crop estimate methodologies lack the mandatory statistical rigor, providing inaccurate estimates based on nonrandom and unrepresentative samples. At NextGen VIT, we stress a statistical approach that is finding widespread adoption in Australia. This approach results in improved crop estimates and crop management, hence negating inefficiencies and costs stemming from inaccurate forecasts.

Part 1. Improving Crop Estimates Through the Application of Statistical Methods & Technology

Grab our RSS feed and we’ll ping you when our forthcoming white papers are ready for prime time:

  • Part II. Improving Crop Estimates Through the Application of Statistical Methods & Technology
  • Using Microsoft Access for Intelligent Vineyard Data Management
  • How NextGen VIT is Leveraging Google Apps and How Winegrowers Can Too