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❯Precision Farming as a Service
Large Companies
Computer Vision - Gesture Recognition
General Public
Education - Accessibility
Chromosome segmentation and deep classification
Government
Defense & Military - Intelligence & Surveillance
Dialogue-based social care services for people with mental illness, dementia and the elderly living alone
Instant triaging of wounds
Large Companies
Small Companies
Entertainment and Media - Metadata Tagging
Intelligent Video Traffic Monitoring
Education - Automated Content Generators
Large Companies
Small Companies
Entertainment and Media - Subtitle Creation
Autonomous apron truck
Robotic prehension of objects
AI decryption of magnetograms
Government
Defense & Military - Autonomous Vehicle
Improvement of productivity of semiconductor manufacturing
Automated defect classification on product surfaces
Pre-screening of cavity and oral diseases based on 2D digital images
Intelligent technology to control manual operations via video Norma
Automatic classification tool for full size core
Real-time patient support and medical information service applying spoken dialogue system
AI situation explanation service for people with visual impairments
General Public
Education - Smart Learning Content
Autonomous trains (Unattended train operation (UTO))
AI sign language interpretation system for people with hearing impairment
Precision Farming as a Service
General Public
Computer Vision - Object & Activity recognition
Facilitating language learning of deaf people
Computer-aided diagnosis in medical imaging based on machine learning
Social humanoid technology capable of multi-modal context recognition and expression
Autonomous Robot Improves Surgical Precision Using AI
Precision Farming as a Service
For:
FarmersGoal:
Anticipate Risks, Improve Operation EfficiencyProblem addressed
The use case shows how AI is contributing to modernization of the agriculture
industry.
Scope of use case
Use visual recognition to identify and help fight parasites attacking organic farms.
Description
BioBotGuard main goals are to cut the use of phytosanitary
treatments to contain the environmental health risk by
estimating the probability of incubation and development of
plant diseases or harmful insect attacks and anticipate
treatments. BioBotGuard monitors microclimatic conditions
with high accuracy measurement and prediction models to
optimize irrigations.
From the technology point of view, it employs: AgroDrones
to patrol and map the culture field. They are equipped with
20Mx high-resolutions cameras to capture in real-time
images. On the back end, the drone sends data to a computer
vision API for image classifications and pattern detections.
Among other things, the system is able to detect harmful
insects and build a georeferenced risk map of the crop.
As a result, bioBotGuard can help AgriFood producers to
change the cost structure of the industry by requiring less
water and less treatment, as well as a significant reduction in
labour costs.
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AI: Perceive
IOT
Computer Vision
AI: Understand
Automate Process
AI: Act