Our AI platform provides new ways of detecting low-level and high-level
environmental pollution while “learning” how to sanitize the environment efficiently without any toxic
residual effects. It can also learn about agricultural and cannabis diseases and their treatments with the
use of Micro-Electromechanical System “MEMS”, specifically our Cantilever Technology.
We combine Artificial Intelligence “learning machines” with aerial drones, land and sea roaming robots that analyze:
Patent Application Number: 62/728,827
Our Cantilever (Femtolever) consists of a Bio-Chem detection system using nanotechnology elements to identify, measure and detect minute particles (femtograms) of biological and/or chemical elements. Our AI platform can use data gathered by the Cantilever and determine soil PPMs (parts per million) of hydrocarbons (petroleum) and what type (diesel and oil). We can also detect different types of metals in soils and other inorganic materials.
Drone technology is a vital part to gathering valuable information in the field. Our Cantilever technology is mounted on our drones for quick and efficient measurements in "real-time". Our AI will use this data to find patterns and as "learning" continues the AI can direct drones to affected areas for monitering, making the drones fully autonomous.
Robots will work in the field to apply our biosurfactant applications. The AI can determine what kind of treatment is neeeded and then deploy robots to the location for treatment. The robots are fully autonomous and use GPS, laser tagging technology, imaging, and AI direction to travel to the specified site. At the location the robot can also take close-up high definition images of leaves to compile a database of unique leaf "fingerprints" that can be used for crop forecasts.
We have created specific algorithms for environmental, agricultural and cannabis applications. We then apply numerous separate data sets managed by AI to determine what is needed, where it is needed and why it is needed all the while “learning” to carry out specific tasks.
The AI system can direct autonomous robots to the contaminated area or diseased plant location, provide the solution to administer, and apply the correct treatment or conduct further assessment. With this technology, we can eliminate human error, cut costs, and learn “on the spot” in real time using short and long-term machine learning” to correct and restore the environment and eradicate agricultural and cannabis diseases.
Each plant and tree virus, disease and fungus can be detected very early on because each species has a particular form and structure and any slight change, through exascale computing (billions of data runs), can be detected and learned. Change takes place through temperature variation, organic compound release and water movement rate (among other data) at different stages of the virus, disease and fungus infection. Particular AI “ultra high def” data mining of plant and tree vasculature “Leaf veins” produce fingerprints that are also learned. Continued data and picture mining combined with nanotechnology measurements can lead to recognizable patterns that our AI can use to predict future changes and crop events.
Our AI platform can direct robots to treat chemical and biological materials. Our treatments involve our non-toxic and environmentally friendly biosurfactants that have the capacity to destabilize the plasma membrane of plant and tree bacterial diseases and preventing their proliferation. Our biosurfactant also has the ability to break apart hydrocarbons (petroleum), and remove the bond between soil and metals, leaving only minerals after treatment
October 22, 2018 - Data mining of Citrus Canker successful. Testing for cannabis plants disease treatments and data mining commencing soon.