December 16, 2024
Congratulations to Seiya Wakahara on publishing his first research paper, “Non-destructive potato petiole nitrate-nitrogen prediction using chlorophyll meter and multi-source data fusion with machine learning.” The study analyzed 26 site-years of nitrogen fertilizer experiments and combined SPAD chlorophyll meter readings with genetic, environmental, and management data. Using machine learning models, Seiya achieved a validation R² of 0.80 and 75% diagnostic accuracy, providing a non-destructive and cost-effective method for diagnosing nitrogen levels in potato crops. This innovative work advances precision agriculture and offers practical solutions for farmers.
2024 MN On-farm Precision Agriculture Research Network Meeting
February 27, 2024
On February 15, 2024, the UMN Precision Agriculture Center organized the 2024 On-farm Precision Agriculture Research Network Meeting to share and discuss the results of 2023 on-farm precision agriculture trials and plan for 2024 on-farm trials. The participants included collaborative growers, crop consultants, university researchers, graduate students, an USDA ARS scientist, Minnesota Department of Agriculture scientists and industry collaborators. In addition to the in-person meeting, an on-line option was also provided to those who could not join in person.
Precision Agriculture Center Seminar Series
March 22, 2018
Thanks to everyone that attended and participated in today's seminar! A special thanks to Brian Bohman for presenting his work on remote sensing for predicting the nitrogen nutrition index in potato.
We encourage everyone to draft a blog-style post about any aspect of your research so we can get more content up on the PAC website. Remember - include a summary, keep it short and simple, and include plenty of photos and figures. Send your draft to Yuxin or Tyler to get it published on the website.