From image to data
right from the farm
AgrX works with Computer Vision & Machine learning to find new solutions to old problems
WHAT DO WE DO?
Real-time solutions for agricultural challenges using artificial intelligence and computer vision
End-to-end Computer Vision solutions for agriculture
Raw data collection
We adapt the best hardware available and find cost-effective field solutions to capture data in every situation, using our experience in rough environments like farms.
Image
Processing
Using Deep Learning, Machine Learning and Computer Vision tools and frameworks, we find pathways to extract the key features that the client needs, typically in agricultural setups.
Automated Analytics
We provide analytics right from the field, automating outputs, predictions, algorithm and re-training, as well as we gather data from other sources to find patterns or specific data points.
User
Experience
We provide reports, web feeds, alarms, heatmaps or other tools that are convenient for the client, in different possible formats, always suitable for the farming environment.
We have been selected by:
Our portfolio of work
Our areas of expertise
pollination
monitoring
A system to monitor pollination events, thus, efficiency, in different crops using imagery, automatically.
FRUIT recognition
COUNTING & sizing in
real time
A system to count fruit in real time on the very harvester, as a way to have a heatmap on yield for every lot.
FLOWER feature
identification
System aimed to recognize between different types of flowers, and between bud, maturity and exhaustion
swine recognition & inventory
System that allows to monitor shapes and sizes in swine cattle and helps with inventory
Machine learning
We use different techniques and frameworks within ML to tackle challenges that involve predicting results from variable or complex scenarios.
computer
vision
We use what's best and cutting edge in image technology and we work with the best graphic processing platforms like Nvidia, GoPro, Intel.
IoT (internet of things)
We have experience with IoT technology, embedded software, communicating between devices and integrating with cloud systems.
HARDWARE DEVELOPMENT
We can develop our own hardware or combine different third-party devices for rough environment conditions like the farm type
