Artificial intelligence and data science for agriculture
Submit your agricultural research project in AI to collaborate with internationally renowned research and innovation centers. Recommendations and data analysis - the research orientations should be around the soil erosion control, reducing pesticide and irrigation expenditures, and predicting plant diseases and infections. Examples of projects: smart irrigation - Detection of diseases for specific plants and crops - Study and prevention of plague infections - Intelligent fertilizer management etc.
Our research concern 2 axes : the drone imagery analysis for crops health by deep learning the smart irragation machinery analysis by deep learning
Activities
Agricultural precision kits, monitoring and data processing. These drone imagery-based services include comprehensive agricultural data analysis based on vegetation indexes and artificial intelligence.
Access to capital funds and research centers for purposes ranging from proof of concept, proof of sale, development and expansion planning for your business and startup in agritech - healthtech and climatetech.
Humanitarian program of aid, support and development through sports activities, training for children and youth, and precision and sustainable agriculture programs for rural populations.