Ecoation wished to launch the first commercial iteration of their B2B SAAS solution generating actionable insights for commercial greenhouse farmers to increase yields while reducing operating costs & pesticide use.
Designed & built the hardware & firmware for data collection & edge-AI analytics to forecast harvests, model the spread of pests & disease & optimise crop interventions for plant health. This was integrated with a cloud platform & web & mobile applications to deliver actionable insights. The hardware developed was designed to retrofit existing commercial greenhouse mobility systems to reduce barriers to entry & collect unique high-spatial resolution data.
Developed a patented 360° stereo-depth MIPI-based machine vision system & edge-AI analytics running on an Nvidia Jetson AGX Xavier and for use in a bandwidth-constrained environment.
Developed robust sensors designed for operation in a working farm environment. Conducted lifetime and failure testing of sensors.
Achieved regulatory certification for Canada, USA, Mexico, & the EU enabling global sales.
Led development of new product roadmaps
Recruited & supervised a team of 6 engineers
Acted as the final review on all engineering change orders
Drove the adoption of lean & agile methodologies for product development, owning feature backlog, running scrums, conducting reviews & retrospectives, & serving as the voice of the customer
Continuously ran A/B trials in the field to make design decisions supported by user data
Identified & led engagement with key technology partners
Launched 6 robotics & sensing products to market
Reduced cost & failure rates by 30% & manufacturing time by 80% compared with legacy prototypes
Scaled manufacturing 10x
Author of 3 patents covering the robotic collection, analysis & use of climate data