Oct 06, 2023
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Service categories
Service Lines
Software Development
Design
Web Development
Domain focus
Other
Subcategories
Design
Product Design
Challenge
The client’s goal was to streamline the plant care process in several aspects:
Replace manual labor with automation to save a sizable chunk of farm employees’ time.
Substitute a lack of workforce for intelligent sensors.
Spot problem plants in the early stages of mildew, botrytis, or pest infestation through accurate and detailed real-time health tracking.
Detect plants with unsafe levels of THC due to hyperspectral imaging analysis, as in the US and Canada, plants exceeding the 0.3% total THC level must be destroyed, causing tremendous financial loss to farmers.
Back up harvest predictions and decision-making with accurate up-to-date analytics instead of guesswork to avoid year-end surprises.
The client’s goal was to streamline the plant care process in several aspects:
Replace manual labor with automation to save a sizable chunk of farm employees’ time.
Substitute a lack of workforce for intelligent sensors.
Spot problem plants in the early stages of mildew, botrytis, or pest infestation through accurate and detailed real-time health tracking.
Detect plants with unsafe levels of THC due to hyperspectral imaging analysis, as in the US and Canada, plants exceeding the 0.3% total THC level must be destroyed, causing tremendous financial loss to farmers.
Back up harvest predictions and decision-making with accurate up-to-date analytics instead of guesswork to avoid year-end surprises.
Solution
The client’s end goal was not just to get a Minimum Viable Product (MVP) but also to de-risk the product launch as much as possible. They decided to move incrementally, from the proof of concept (PoC) to prototype to a robust MVP.
Besides implementing the changes driven by the farmers’ feedback on the prototype, we went the extra mile by crafting a solid MVP and making the app more feature-rich and appealing to investors and users.
The client’s end goal was not just to get a Minimum Viable Product (MVP) but also to de-risk the product launch as much as possible. They decided to move incrementally, from the proof of concept (PoC) to prototype to a robust MVP.
Besides implementing the changes driven by the farmers’ feedback on the prototype, we went the extra mile by crafting a solid MVP and making the app more feature-rich and appealing to investors and users.
Results
- Easy-to-grasp actionable insights based on leaf-level images from crop monitoring
- The very first solution for harmless monitoring and analyzing the state of medical cannabis plants in greenhouses
- Interactive multi-layered greenhouse map
- Holistic data about plants’ condition in real-time
- Decreased number of plants requiring eradication due to THC exceedances thanks to predicting the cannabinoid level during growth
- Greenhouse history at the fingertips empowers farmers to make accurate hypotheses about possible changes ahead
- Easy-to-grasp actionable insights based on leaf-level images from crop monitoring
- The very first solution for harmless monitoring and analyzing the state of medical cannabis plants in greenhouses
- Interactive multi-layered greenhouse map
- Holistic data about plants’ condition in real-time
- Decreased number of plants requiring eradication due to THC exceedances thanks to predicting the cannabinoid level during growth
- Greenhouse history at the fingertips empowers farmers to make accurate hypotheses about possible changes ahead