# 🤖 AI & Blockchain for Agriculture

### We maximize the yields of cannabis and essential vegetables using artificial intelligence.

We can identify each plant and detect deficiencies at the following levels:

* Calcium&#x20;
* Magnesium&#x20;
* Moisture
* &#x20;Light threshold
* &#x20;Barometer to detect wind direction and strength.

Based on the continuous calculation of this data during a crop, a neural network can automatically execute or make predictions to perform the following operations:

* Crop yield prediction: neural networks can be trained with historical data on crop production, weather conditions, soil nutrients, among other factors, to predict crop yields at a future time.
* Detection of diseases or pests in crops: neural networks can be trained to identify diseases or pests in crops by detecting specific patterns in digital images of crops.
* Classification of crop types: neural networks can be trained to classify different types of crops using satellite images or drones.
* Identification of best agricultural practices: neural networks can be trained to identify the best agricultural practices to maximize crop yields, minimize resource use, and reduce environmental impact.
* These data can be recorded in a digital logbook to record data and make future predictions.&#x20;

We use Helium as our main blockchain for data calculation and acquisition.

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## WAIPO S.A.S is the partner company of Agromedicalgreen in the development and testing of AI and photo detection prototypes, which has outstanding engineers from the University of Antioquia.&#x20;

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