Enhancing precision agriculture through AI-driven crop monitoring - BC-928
Project type: ResearchDesired discipline(s): Food science, Life Sciences, Computer science, Mathematical Sciences
Company: CropVue
Project Length: 6 months to 1 year
Preferred start date: 01/02/2025
Language requirement: English
Location(s): BC, Canada
No. of positions: 2
Desired education level: CollegeUndergraduate/BachelorMaster'sPhDPostdoctoral fellowRecent graduate
Open to applicants registered at an institution outside of Canada: Yes
About the company:
CropVue is dedicated to empowering farmers with AI-powered automated scouting solutions that support decision making that results in improved agricultural and environmental outcomes. Through our advanced data analytics, daily monitoring, and AI-driven predictions, we help growing operations make informed decisions that drive grower success and foster environmental stewardship.
Describe the project.:
CropVue is developing innovative Crop Monitor devices: advanced camera systems designed to automatically scout agricultural crops. These devices capture high-resolution images of crops at various stages of development, enabling farmers to identify key features that indicate when specific interventions are needed. For instance, in apple orchards, our monitors track essential phenological stages, including bud break, floral development, full bloom, fruit formation, and harvest readiness. By collecting daily imagery along with microclimate data, we create a comprehensive dataset linking visual crop features to grower interventions.
Building on our current pilot work funded by an AAFC grant, this project seeks to expand the scope of data collection and AI model development. The AAFC grant allowed us to validate the initial concept by deploying early prototypes on select farms. Now we aim to scale this pilot to additional sites to refine and optimize our AI algorithms.
The candidates would be responsible for the recommendation of ML framework and tools, development of 2 models that are able to forecast and recommend grower intervention timing.
Required expertise/skills:
- Machine Learning
- AI
