Date: Wed Jul 24, 2019
Time: 8:00 AM - 10:00 AM
Moderator: Michael Gomes
Many growers and service providers struggle with collecting and storing all the data needed to analyze and make informed decisions. Regardless of the data format issues commonly discussed in the industry, just the ability to get all the different information into one single storage location can be a real headache. The value of storing data in a neutral repository from the perspective of a farmer, a researcher, and an ag service provider is similar but nuanced. The potential benefits of being able to share all this data with multiple 3rd parties is something that cannot be overlooked. We will review some of the fundamentals that need to be address to ensure not only that the farmer is in control of the data generated on their operation, but also how current and new data analysis tools can have access to the data needed to be successful.
Data management on the farm is not an easy task. If it were, usage and adoption would be much more wide spread with little need to discuss its shortfalls. While early adopters of digital agriculture showed focus and determination, their adoption required incredible patience and creativity. As we continue into the new frontier of big data and IoT in agriculture, we realize that being an early adopter comes with pains and challenges, with many issues either rising or declining in their importance and urgency. Developers with the ability to adopt and adapt to new frameworks and standards quickly will inevitably succeed. The real winners are the end-users who are free to move about the new space of digital agriculture with all of their data and tools located in a single place, rather than being scattered among a number of quirky plug-ins and platforms. We will discuss what today’s realities are that must be overcome, and how we as precision agriculturalists must adapt to realize our vision of data interoperability for the future.
Data Interoperability is critical for the successful use of data to drive decision making at the grower level. The industry has begun working to develop a toolset to solve many of the data interoperability issues within our industry, but it’s time to solve this problem completely. Everyone in our industry is impacted by the lack of data interoperability and our customers deserve better. This presentation will explain the options before us and possible outcomes of each option to solve this data interoperability problem. A grower recently told me “if my data doesn’t work in your system, your system is broken”. How about we develop a plan to fix the problem!
Cotton production systems have not received as much attention as other crops but have an interesting opportunity to spatially manage quality parameters - if we can collect, process, and analyze a diverse dataset. This presentation is a short walkthrough of the process to connect machine-generated data to processing data to create new insights into field management.