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Agriculture
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Crop health Analysis
Crop Diagnosis & Product Recommendations Through AI
For:
Farmers, Biochemical companies, Crop disease treatment manufacturers
Goal:
Improved Product Development / R&D, Improve Operation Efficiency
Real-time segmentation and prediction of plant growth dynamics using low- power embedded systems equipped with AI
For:
Agriculture, ecology management, sanitary services
Scope:
The project is devoted to the development of a low-power embedded system and AI algorithm for real-time plant segmentation and prediction of its growth. The proposed distributed system is aimed for use in greenhouses and remote areas, where edge-computing autonomous systems are in demand. A branch of this project also aims to develop the payload for drones for the segmentation of harmful plants in real-time.
Goal:
Improve Operation Efficiency
Ecosystems management from causal relation inference from observational data
For:
Environment, ecosystem
Scope:
Infer important latent variables to control a whole ecosystem using a database including human observation and sensor data.
Goal:
Improved Product Development / R&D, Improve Operation Efficiency
Precision Farming as a Service
For:
Farmers
Scope:
Use visual recognition to identify and help fight parasites attacking organic farms.
Goal:
Anticipate Risks, Improve Operation Efficiency
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