Artificial Intelligence-Driven Green Agriculture for Sustainable Development

Dear Colleagues,

Digital agriculture has developed rapidly and significantly improved productivity in recent years. Information and communication technologies’ application in various agricultural production processes has further improved their level of intelligence. However, chemical pesticides, plastic film residues, irrigation water waste and other problems in traditional agricultural production still present serious setbacks in different countries and regions. These environmental problems may result in long-term effects and serious health implications.

Smart agricultural research driven by artificial intelligence could solve these problems and aid the pursuit of realizing green agriculture for sustainable development, particularly the early and timely identification and monitoring of crop pests and diseases, preventing major disasters; soil moisture monitoring and weather prediction, informing irrigation for water saving; and unmanned harvesting machines, which coordinate operations to increase harvest efficiency and reduce fuel consumption and carbon emissions, among others.

This Special Issue will publish both original articles and reviews considering intelligent applications in agriculture. Papers covering artificial intelligence techniques advancing sustainable development are welcome.

Dr. Yang Li
Prof. Dr. Jiachen Yang
Guest Editors

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