Field monitoring

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  AI DETERMINATION OF DISEASES OF PLANTS AND PESTS BY OPTICAL AND OTHER CHARACTERISTICS USING SPECIAL COMPOUND ARRAYS

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  TYPES OF DAMAGE TO THE SUNFLOWER LEAF

Inspiration

Loss of crops in the world is $ 80 billion a year

What it does

Artificial intelligence based on the author's mathematical model of neuron cliques, tensors of intensive definitions, to identify diseases and plant pests

How we built it

METHODS OF IDENTIFICATION OF INFORMATION BY AI ON BASE OF COMPARING ARRAYS ARRANGED BY A SPECIAL DATA BY THE AUTHOR'S METHOD, ALLOW YOU TO IDENTIFY ANY INFORMATION IN ANY COMBINATION

Challenges we ran into

The versatility of our software allows us to solve any problems in the same way for all cases.

Accomplishments that we're proud of

We are able to identify both plant diseases and lack of nutrients, as well as their pests.

What we learned

We learned that our application: 1.The ability to integrate knowledge into the AI base without training and a small number of tests for its training.

1. The use of a small, finite number of the same features for the analysis of any information.
2. Automatic formation of a composite array of attributes.
3. Easy to install without any settings and virtual environments on any machine.
4. Using standard software with a simple interface.

What's next for Field monitoring

We work with large consumers of our services for the identification of plant diseases and their pests

Built With

• matlab
• python
• tensorflow
• tod