Leveraging edge artificial intelligence for sustainable agriculture
Moussa El Jarroudi (Sart Tilman B52)
Louis Kouadio (Centre for Applied Climate Sciences, W. Africa Rice Devmt. Association)
Philippe Delfosse (Université du Luxembourg)
Clive H. Bock (USDA ARS U.S. Horticultural Research Laboratory)
Anne Katrin Mahlein (Institute of Sugar Beet Research)
Xavier Fettweis (Sart Tilman B52)
Benoit Mercatoris (Gembloux Agro-Bio Tech, Sart Tilman B52)
Frank Adams (Lycée Technique Agricole)
Jillian M. Lenné (Fyvie Primary School)
S Hamdioui (TU Delft - Computer Engineering, TU Delft - Quantum & Computer Engineering)
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Abstract
Effectively feeding a burgeoning world population is one of the main goals of sustainable agricultural practices. Digital technology, such as edge artificial intelligence (AI), has the potential to introduce substantial benefits to agriculture by enhancing farming practices that can improve agricultural production efficiency, yield, quality and safety. However, the adoption of edge AI faces several challenges, including the need for innovative and efficient edge AI solutions and greater investment in infrastructure and training, all compounded by various environmental, social and economic constraints. Here we provide a roadmap for leveraging edge AI at the intersection of food production and sustainability.