Date: Wed Jul 26, 2017
Time: 8:00 AM - 10:00 AM
Moderator: Jeff Keiser
Precision ag adoption, specifically using data to make better decisions, has never reached the majority of growers or acres. In addition, hundreds of new agronomic inputs are introduced each year but fail to gain market share because growers don’t believe the positive results from test plots can be duplicated in their fields. Are all growers from Missouri – The Show Me State? This presentation will focus on using precision ag technology and data analytics to validate which agronomic inputs, rates and practices work and where.
In this session we will explore three unique methods that utilize data to drive crop production decisions behind the farm gate. These examples will range from developing a probability risk matrix using small plot research data, to developing prescription variable seeding rates in soybean using multiple on-farm replicated trials, to utilizing yield gap analysis from farmer supplied big data sets to drive grower decision making.
Service Providers are working with more data today from Growers than ever before. Growers are also using “Cloud”-based systems to transfer data to and from field equipment. At the same time, more growers are choosing to share data with new “solutions” that offer better ways to use the data that is collected. This is recreating an issue with grower data being stored in islands of sorts that as Services Providers we must navigate the waters correctly to download the needed data to create recommendation or provide analysis. This presentation will provide ideas on how Service Provider can work with Growers to use their data and how to make sure it is available when needed for decision-making.