Product line planning manager Jay Witkop with John Deere says farmers now manage fields by zones but eventually will make decisions on a per-plant basis. To get there, he believes machine learning technology will be the next step. His presentation was just one of many July 26 during Michigan State University’s Ag Innovation Day at the university’s farms in East Lansing.
Product line planning manager Jay Witkop with John Deere says farmers sometimes need to get creative with the data they’re collecting like with moisture sensors. They can be used to track moisture and nutrients in soil profiles, so while farmers may not irrigate, they can use the information to make more informed decisions about fertilizer applications.
MSU Foundation professor Bruno Basso with the Department of Earth and Environmental Sciences has used remote sensing and crop modeling research to compile images from more than 70 million corn acres in 10 Midwest states to better understand nitrogen use.
Basso, along with research assistant Richard Price, launches the DJI Matrice 600 PRO during MSU’s Ag Innovation Day.
The Basso Lab uses the DJI Matrice 600 PRO for its remote sensing research.
Monica Jean and field crops team member Eric Anderson presented “There’s an Ag App for That” to help walk farmers through free apps to search for and how to evaluate if they’re working during the recent MSU Ag Innovation Day.
Solution specialist Nathan Jenkins with John Deere says manure constituent sensing measures nutrients in manure as it's being applied and adjusts to meet fertilizer needs.
Jay Witkop says sprayer technology is now allowing adjustments to be made on individual nozzles, which can provide an additional 2% to 5% savings, especially on field edges and in curves.