SAS Blogs

White Papers & E-Books

• White Paper | Using Agriculture Analytics to Improve Field Trials: The Crop Science Disruption and the Data-Driven Solution
• White Paper | 4Rs of Digital Farming: How SAS Is Advancing Precision Agriculture

Articles & Reports

• AgReads | A year ahead of food and fortune: The North America AgTech and FoodTech partnership landscape, trends and data-driven 2022 predictions
• AgReads | Technology, uncertainty and change – A turning point for the US biostimulant industry?
• LinkedIn | What side-by-side trials teach us about innovation
• LinkedIn | A better way to demonstrate ag innovation’s value
• LinkedIn | Does a field test need more sites or more replications?
• Turf Magazine | 10 ways artificial intelligence improves turfgrass management

Interviews & Demos

• YouTube | Environmental Parameterizations for Agriculture
• YouTube | SAS for Mixed Models
• LinkedIn | Model fit v. model accuracy
• LinkedIn | Better by-site analysis
• LinkedIn | Three reasons to go Bayesian
• LinkedIn | Go big with your data ... without knowing code
• LinkedIn | SAS for genomic selection

Live & Online Events

• On-Demand Webinar | Five Things Every Agriculture Executive Should Know About Analytics
• On-Demand Webinar | Ten 2-Minute Tips to Analyze This Year's Field Data
• On-Demand Webinar | How Analytics Can Predict Machine Failure in Agtech

John's Bio

John Gottula, PhD, is an agtech innovator with an applied crop science background and a passion for analytics. Holding a doctorate from Cornell University, John formerly directed crop biotechnology studies and led global agronomic development programs. John is the co-creator of #AgileAg, a movement to link agile processes with crop science to drive analytics adoption in the agriculture industry.