Mar 19, 2021
No image
Service categories
Service Lines
Artificial Intelligence
Big Data
Software Development
Domain focus
Other
Programming language
Python
Challenge
The client’s goal was to give farmers a solution for automatically detecting tree diseases. The solution would optimize inputs, protect the farm’s economic viability and increase the productivity of orchards by preventing tree diseases. It would also gather records about the health and productivity of any individual tree at any time, over time.
The client’s goal was to give farmers a solution for automatically detecting tree diseases. The solution would optimize inputs, protect the farm’s economic viability and increase the productivity of orchards by preventing tree diseases. It would also gather records about the health and productivity of any individual tree at any time, over time.
Solution
Our client has an AI team that creates a unique service that connects AI cloud technologies and multisensor data operations to reach the best analytical capabilities.
Quantum extended the client’s existing team, increasing the accuracy of analysis and prediction by using sophisticated data science techniques. The critical components of the system are:
Image preprocessing
Orchards decomposition
Growth analysis
Proprietary models
Our client has an AI team that creates a unique service that connects AI cloud technologies and multisensor data operations to reach the best analytical capabilities.
Quantum extended the client’s existing team, increasing the accuracy of analysis and prediction by using sophisticated data science techniques. The critical components of the system are:
Image preprocessing
Orchards decomposition
Growth analysis
Proprietary models
Results
Quantum provided a model that identifies fruits and the level of tree health from images with a nearly human level of performance. Our team also highlighted the required metrics for analysis and connected all the data the client received from drones once in a couple of months.
The solution used a neural network to predict crop yields better and, thus, increase the efficiency of farms. Using the semantic segmentation approach, our client can segment fruit trees on multispectral drone imagery.
Quantum provided a model that identifies fruits and the level of tree health from images with a nearly human level of performance. Our team also highlighted the required metrics for analysis and connected all the data the client received from drones once in a couple of months.
The solution used a neural network to predict crop yields better and, thus, increase the efficiency of farms. Using the semantic segmentation approach, our client can segment fruit trees on multispectral drone imagery.