Artificial Intelligence and Digital Agriculture

The section Artificial Intelligence and Digital Agriculture aims to advance scientific knowledge and innovation in the application of information technologies to agriculture. It serves as an interdisciplinary platform for researchers, engineers, biologists, data scientists, and IT professionals to share novel ideas, methodologies, and solutions that promote the digital transformation of agricultural systems.

This Section welcomes original research papers, review articles, and perspectives that explore both theoretical and practical aspects of artificial intelligence (AI) and digital technologies across the agricultural value chain. Topics of interest include, but are not limited to, the following: smart sensors and networks, automation and control systems, modeling and simulations, decision support systems, machine vision, image processing, telemetry, and data analytics at all scales—small, medium, and big data. Contributions may focus on hardware and software innovations that enhance sustainability, efficiency, profitability, and quality in agricultural operations.

Emphasis is placed on the integration of AI techniques to solve problems and optimize processes in precision farming, digital farming, food systems, and bio-system engineering. Studies may involve field and laboratory experiments or simulations in a variety of agricultural contexts, including cereals and industrial crops, greenhouses, fruit orchards, vineyards, horticulture, and animal husbandry.

The Section seeks to foster interdisciplinary dialogue and encourage the development and application of advanced digital and AI-based technologies to support modern, sustainable agricultural practices.

Subject Areas

• Smart farming 
• Digital solutions
• Decision support systems
• Artificial intelligence
• Generative artificial intelligence
• Machine learning
• Neural network
• Digitization footprint
• Internet of Things (IoT)
• Proximal and remote sensing
• Autonomous farming and robotics
• Big data analytics
• Blockchain for supply chain traceability
• Agricultural robotics