A research team has shed light on how water lilies produce their vibrant petal colors, revealing key genes involved in blue, red, and white coloration.

A research team has uncovered the unexpected role of the cassava ferritin-like gene MeFER4 in plant stress responses.

Greenhouse berry production research at Simon Fraser University (SFU) is ramping up thanks to $5 million in new funding over three years from the Weston Family Foundation’s Homegrown Innovation Challenge.

The SFU-led project—developed in collaboration with industry partner BeriTech—is one of four Canadian projects selected to participate in the Challenge’s Scaling Phase. With this support, the team will continue advancing their indoor blueberry trials while branching out to include raspberries and blackberries. The goal: to develop sustainable, scalable, and economically viable indoor growing systems that can support Canadian farmers year-round.

A research team has developed an advanced deep learning model, LKNet, to improve the accuracy of rice panicle counting in dense crop canopies.

A research team has developed a novel deep learning framework that integrates 3D radiative transfer modeling (RTM) with a knowledge-guided convolutional neural network (KGCNN) to accurately and dynamically retrieve maize leaf area index (LAI) across different years and growth stages.

Researchers are set to shine a different kind of light on the farming industry after receiving funding to explore how fluorescent materials used in TV and phone screens can detect the presence of pesticides and herbicides in food production.