Lodging can cause cereal yield losses of 7 to 35% also affecting post-harvest conditions and the quality of the grain (Strydhorst et al., 2018).
To forecast the grain yield on spring wheat, 20 locations within one of Smart Farm fields (Field 15/16) were sampled.
In an industry where small price fluctuations can have a big impact on profitability — risk management is extremely important!
Before each planting season, farmers must make crucial decisions about what crops to plant and what seeding rates, fertilizer, and other input levels to use.
Digital farming and smart ag technologies will play a large role in the future of sustainable agricultural production. However, smart ag technologies are reliant on connectivity.
Setting up right yield goals and forecasting yield during the growing season is the Holy Grail of precision agriculture.
inishing its second year of using autonomous agriculture equipment, the Olds College Smart Farm was able to get A LOT more comfortable with OMNiPOWER by collecting data on a total of 60 missions.
Providing meaningful work-integrated learning opportunities while benefiting from new skill sets and fresh perspectives — the makings of a successful partnership this year between Olds College and 12 enthusiastic agriculture students.
Olds College researchers are evaluating the economic and environmental benefits of using native wetland plants and floating island technology to remediate feedlot runoff water.
Using various types of satellite imagery for monitoring crop conditions and field variability analysis is one of the most important components of the Smart Ag ecosystem.
Since its creation, the Olds College Smart Farm has tested and validated pretty much any advanced or leading edge precision ag technology that exists in the world (and this is not an exaggeration!).
In the last decade, remote sensing tools became an essential component of precision agriculture. Satellite and aerial imagery is extensively used for field monitoring and crop condition assessment.
In today’s precision agriculture world, GPS is at the core of many of the most common applications of this technology.
The most common application of remote sensing in agriculture is to analyze crop conditions using a combination of near-infrared (NIR) and red parts of the spectrum.
This next generation of ag-technology gives Olds College students one-of-a-kind learning opportunities on commercially available field-scale robotics technology on the College’s Smart Farm.