While the case studies are actual, the names and locations have been changed to protect the identity of clients.
Background
Green Farms, a Delhi-based hydroponic farm, specializes in a range of exotic and leafy greens, sold directly to consumers via a weekly subscription. They cultivate 17 different crops, but managing such a variety leads to planning challenges, resulting in the best-case, maximum farm capacity usage of up to 76% only.
Issue
How to boost farm utilization through better planning?
Challenges
- Different crops took different extent of time to grow.
- Some of the crops are of single-cut variety, some are multi-cut.
- Weekly sales demand for individual crops fluctuated by up to +/-10%.
Solution
We implemented an Artificial Intelligence-based system to manage crop cycle & operational planning.
The following were the key features:
- A consolidated view of the crop status on the farm at any point in time.
- Ability to add different agronomist(s) and farm help(s) to the platform.
- System-generated crop plan based on customer demand pattern.
- Automatic generation of daily tasks based on crop plan.
- AI-based auto-correction and auto-updation of tasks based on ground learnings.
- An ability for farm help(s) to flag issues and report them to agronomist(s) in real time.
- GPS-based time/attendance/visit log of agronomist(s) and farm help(s).
- Remote monitoring and management capabilities for the farm owner.
Result
Farm utilization rate improved from a high of 76% to 93%.