SOWIT (www.sowit.fr) is an African startup offering digital solutions that enables farmers to preserve irrigation water and fertilizer needs for a range of major crops on the continent such as cereals, maize, sugar cane, and citrus. The company collects crop data with satellite and drone imagery to analyze with historical climate data, producing predictions and recommendations for improved agricultural management. The analysis of the data is carried out via proprietary artificial intelligence and machine learning techniques based on agronomic models developed in partnership with agricultural research centers in Europe and Morocco. The insights and recommendations then extracted are delivered to farmers with precise practical indications to apply on the field.
SOWIT has been providing actionable decision support tools based on satellite remote sensing. Its capability to crowd-source ground truth data enabled it to accelerate the deployment of its decision support tools with more than 45 000 hectares subscribed in 2020. Please join the webinar to discover how SOWIT is scaling beyond medium and large-scale farmers with highly adaptable technologies and dedicated research partnerships.
Chair: Marianne Grosclaude, Practice Manage, MENA, Agriculture and Food Global Practice, The World Bank
Speaker: Hamza Rkha Chaham, Co-founder of SOWIT
Discussants: Carlo Bravi, Senior Economist, and a focal person for Digital Agriculture in FAO Investment Centre
Armine Juergenliemk, Agriculture Specialist, MENA, Agriculture and Food Global Practice, The World Bank
Giacomo Rambaldi, Senior Consultant, Agriculture Digitization and Enterprise Development
Calendar » How SOWIT is accelerating the sustainable intensification of Moroccan, Ethiopian, Senegalese, and Tunisian farming?
How SOWIT is accelerating the sustainable intensification of Moroccan, Ethiopian, Senegalese, and Tunisian farming?
SOWIT (www.sowit.fr) is an African startup offering digital solutions that enables farmers to preserve irrigation water and fertilizer needs for a range of major crops on the continent such as cereals, maize, sugar cane, and citrus. The company collects crop data with satellite and drone imagery to analyze with historical climate data, producing predictions and recommendations for improved agricultural management. The analysis of the data is carried out via proprietary artificial intelligence and machine learning techniques based on agronomic models developed in partnership with agricultural research centers in Europe and Morocco. The insights and recommendations then extracted are delivered to farmers with precise practical indications to apply on the field.
SOWIT has been providing actionable decision support tools based on satellite remote sensing. Its capability to crowd-source ground truth data enabled it to accelerate the deployment of its decision support tools with more than 45 000 hectares subscribed in 2020. Please join the webinar to discover how SOWIT is scaling beyond medium and large-scale farmers with highly adaptable technologies and dedicated research partnerships.
Chair: Marianne Grosclaude, Practice Manage, MENA, Agriculture and Food Global Practice, The World Bank
Speaker: Hamza Rkha Chaham, Co-founder of SOWIT
Discussants: Carlo Bravi, Senior Economist, and a focal person for Digital Agriculture in FAO Investment Centre
Armine Juergenliemk, Agriculture Specialist, MENA, Agriculture and Food Global Practice, The World Bank
Giacomo Rambaldi, Senior Consultant, Agriculture Digitization and Enterprise Development
Meeting link:
https://worldbankgroup.webex.com/worldbankgroup/j.php?MTID=meb37300d30984f71eb15f2aea9b0adab
Meeting number: 2311 651 3197
Password: pvFEKJjc688