Je suis un technicien agricole est formateur depuis plus de 5 ans . Je membre au niveau de Fenab.
Senegal
ABLAYE GAYE
PRÉSIDENT
Président comité local thies de RACINES (Réseau des Acteurs et Initiatives et Économiques , Écologiques et Solidaires)
Posted on 06/07/2023
Dear colleagues
I believe that visual tools can make data more accessible and understandable for stakeholders who are not experts in the field. This can help to promote transparency and commitment in the assessment process.
However, even if we are talking about visual evaluation, we need indicators that really define what the visual tool is and what its role and importance is.
Layepresi
Senegal
ABLAYE GAYE
PRÉSIDENT
Président comité local thies de RACINES (Réseau des Acteurs et Initiatives et Économiques , Écologiques et Solidaires)
Posted on 26/02/2024
Good evening,
I can give a concrete example from our agriculture initiative in southern Senegal, where we are using drones to assess agroecological practices.
Thanks to AI, we can analyze these practices in depth: the camera-equipped drone we used collects valuable crop data while flying over the fields. This approach enables an accurate assessment of farming activities, with an emphasis on agroecology. By observing family farms from the air, drones provide crucial information on crops, irrigation, soil management and many other aspects. This has enabled us to make an accurate assessment of the various farming activities in the southern zone of Senegal, with its emphasis on agroecology. Drones offer an aerial perspective that can confirm whether farming practices are really in line with this approach. Drones therefore play an essential role in assessing family farms and promoting agroecology.
There are also highly effective applications that use algorithms for programming. For example, in Senegal, on the farms I was following, the times of fertilization and treatment on the farms are programmed by a very efficient algorithmic application that even tells you what type of fertilization you need to do, and then during the harvesting phase it lets you know with a precise assessment the possibilities of harvest quantity and all the expenses to be used during the harvesting period. They send reminders to our computers and cell phones. It's really handy for optimizing farming practices and improving efficiency. That's why I've enrolled in a virtual computer university (web gaming application development) in Senegal in agronomy since 2022! In a few years' time, when I've acquired the necessary knowledge, I'll be able to participate as an agronomist in the development of agricultural applications.
It's really exciting to see how technology can support sustainable agriculture!
Senegal
ABLAYE GAYE
PRÉSIDENT
Président comité local thies de RACINES (Réseau des Acteurs et Initiatives et Économiques , Écologiques et Solidaires)
Posted on 24/02/2024
Advances in artificial intelligence offer many opportunities to improve our professional activities, including in the field of evaluation. Here are some commonly used AI models and their potential applications:
1. Machine learning: This model enables AI to learn from data and take decisions or make predictions. It can be used in risk assessment, performance prediction, survey data analysis, etc.
2. Natural language processing: This model enables AI to understand and analyse human language. It can be used to analyse comments, extract information from documents, automatically classify responses, etc.
3. Computer vision: This model enables AI to understand and analyse images and videos. It can be used for satellite image analysis, anomaly detection, quality inspection, etc.
To take effective advantage of these advances, here are a few tips:
1. Understand your needs: Identify the areas of your business where AI can add value. Identify repetitive tasks, data collection and analysis processes, and areas where AI can help make more informed decisions.
2. Acquire skills: Develop your skills in machine learning, natural language processing and computer vision. There are many online resources, training courses and communities to help you acquire these skills.
3. Collaborate with AI experts: Work with AI experts to develop solutions tailored to your specific needs. They can help you build AI models, collect and analyse the necessary data, and interpret the results.