Monitoring and Artificial Intelligence Tools for Smart Agriculture

Goal of the Project

The main goal of the project is the use of Internet of Thing and Artificial Intelligence solutions suitable for Cape Verde to increase the production level that allows mitigation and increased resilience in the face of climate change.


The specific objectives of the study are to:

These objectives are aligned with two of the four priority areas of Agriculture and Food Systems, Availability and Stability. The project is developing a farm management system to perform automatic irrigation and drone mapping of crops. It will also conduct training and knowledge exchange through capacity building of students and farmers in the rural community drone controller and smart agriculture system.

Key activities
Key Achievements

The key projects achievements identified during the review of the progress report are as follows:

Next Steps

Future activities will involve creation of the application for integrating sensor data, preparation of the field for installation of the pilot (construction of the tank and adaptation of the electronic valve); data collection for the creation of AI models; training of students and farmers in drone piloting and operation of smart agriculture system; and dissemination of results. Since the design of the pilot was defined together with the farmers by adding minor adaptations to the existing drip irrigation system it is possible for other farmers to adopt the technology allowing for scale up the product.