Enterprise Machine Intelligence and Learning Initiative is working with Geco Engineering to assess the performance of Geco’s weed mapping technology for predicting weed locations and detecting emerging herbicide resistance. |  EMILI photo

Weed management sees new future

Intercropping, predictive weed control could redraw the battle lines in the fight against herbicide resistant weeds

Herbicide resistance in weeds is rising and there are no new chemistries on the horizon, so farmers will need fresh approaches to integrated weed management strategies. “I think the best management practice that someone could do for weed resistance is the one you’re not currently doing on your farm,” said Rory Cranston, technical strategy lead […] Read more


Greg Stewart of Geco Engineering developed a program based on artificial intelligence that creates predictive weed maps so farmers can use herbicides more strategically.  |  Photo supplied by Greg Stewart

Predictive maps help weed control

Greg Stewart is different from most innovators in Canadian agriculture. People that start ag companies are often plant scientists, agronomists or experts in farm machinery. Stewart has a master’s degree in applied mathematics from Dalhousie University and a PhD in control engineering from the University of British Columbia. “A controls engineer ensures that an organization […] Read more