The American Society of Agronomy, the Crop Science Society of America, and the Soil Science Society of America hosted the 2019 International Annual Meeting, “Embracing the Digital Environment,” on November 10-13, 2019, in San Antonio, Texas.
Rodrigo Trevisan, graduate student in Crop Sciences, gave two presentations titled, Understanding the Spatial Variability of Optimum Nitrogen Rates Using Remote Sensing and on-Farm Precision Experimentation and Using Deep Learning to Predict Optimum Crop Management Decisions.
View the presentation materials below:
- Understanding the Spatial Variability of Optimum Nitrogen Rates Using Remote Sensing and on-Farm Precision Experimentation
- Using Deep Learning To Predict Optimum Crop Management Decisions – Trevisan (Abstract)
- Using Deep Learning to Predict Optimum Crop Management Decisions (Poster)
George Hoselton has been working with Data-Intensive Farm Management, under Dr. Maria Boerngen (Illinois State University), on his master’s thesis project since August of 2018. His research focused on understanding how farmers perceive nutrient loss.
Hoselton successfully defended his thesis, “Illinois Corn Farmers Concerns About Nutrient Loss and the Adoption of Best Management Practices” and graduated from Illinois State University with his Masters Degree this past weekend.
Congratulations, George! Thank you for the work you have contributed to DIFM!
The DIFM project has been awarded $70K over two years to perform additional research on the Illinois Corn Growers’ Field Lab. The primary goal of this body of research is to evaluate a range of remote sensing technologies to enhance research conducted at the Illinois N Field lab. This research would facilitate the development of expertise in image analysis and integration with other field information to better understand crop growth dynamics under different N treatments. The remote sensing information will be used to not only increase understanding of treatment responses with high spatial and temporal resolution but also to increase the confidence in estimations generated by yield monitors. It will also create preliminary information to be used in the preparation of grant proposals to conduct new studies in the same field.
In Argentina we conducted experiments during the 2016-2017 growing season in two contrasting areas of the country: Buenos Aires and in Chaco province. Experiments in Buenos Aires have been harvested and had 18 trials total, with nitrogen and plant density done in separate trials. These fields are approximately 200 acres on average, with experiments taking place on 40 acres.