🤖 AI & Blockchain for Agriculture

We are experts in big data and programming neural networks.

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

• Magnesium

• Moisture

• Light threshold

• 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.

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

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.