The Challenge: A cannabis farm approached sumner-it.com with a unique challenge – to develop a crop health automation platform that could help them monitor and optimize the health of their crops. The company had secured $8 million in venture capital funding and was under pressure to deliver a platform that could improve crop yields and drive growth.

The Solution: sumner-it.com worked closely with the client to develop a crop health automation platform using Python, OpenCV, and AWS. The platform was designed to provide actionable metrics to daily operations through artificial intelligence and machine learning, enabling the company to monitor and optimize crop health at scale.

The sumner-it.com team started by developing a comprehensive project plan that outlined the development process, the technologies to be used, and the project timeline. They worked closely with the client to understand their business needs, the crop health metrics to be tracked, and the technical specifications for the platform.

The sumner-it.com team used agile development methodologies to ensure that the development process was flexible, efficient, and responsive to changes in requirements. They developed a custom image processing algorithm using OpenCV, which could identify specific crop health issues such as pests, diseases, or nutrient deficiencies.

The team also developed a machine learning model using AWS that could analyze the images and provide actionable insights to daily operations, enabling the company to optimize crop health and improve crop yields. The platform was also designed to be scalable, so that it could handle daily operations for 13 international cannabis manufacturing plants.

The Results: The crop health automation platform developed by sumner-it.com enabled the company to monitor and optimize the health of their crops at scale, providing actionable metrics to daily operations through artificial intelligence. Within months of launch, the platform was being used by the company to optimize crop health and improve crop yields.

The platform was so successful that the company was able to secure additional funding, expand its operations, and continue to grow its business. The platform has been recognized as a key innovation in the cannabis industry and has helped the company maintain its position as a leading producer of high-quality cannabis products.

• + AWS
• + Ubuntu
• + GitHub actions
• + Python
• + Shell / Make
• + IoT hardware