Advances in Crop Production Technologies—Digitalization Approaches

Dear Colleagues,

The demands for agricultural products are increasing, due to population growth and climate changes. Therefore, the requirements for improved crop production efficiency and environmentally friendly approaches have gained increasing attention recently. Digitalization in agriculture has impacted agricultural production, and has made the application of advanced technologies in soil preparation, irrigation systems and crop production possible. Digital approaches in crop production aim to use Internet of Things (IoT), information and communication technology (ICT), big data analytics and artificial intelligence (AI) to collect and analyse the available information from agricultural systems and deliver the best management strategies. The use of these tools, along with advanced robotic and precision farming technologies, for soil and tillage, irrigation, seed sowing machines, tractors, fertilizers, sprayers and combine harvesters plays a significant role in the improvement of crop production and the overall efficiency.

The crop production sector is dynamic and complex; hence, it requires state-of-the-art management and decision-making systems. The use of digitalization methodologies in agriculture, along with advanced data analytics, and state-of-the-art digital twin and cloud/edge computing techniques, could support crop production by spatio-temporal as well as real-time monitoring of farms and creating/updating virtual systems.

This Special Issue aims to collect novel, state-of-the-art and up-to-date findings in crop production research, management and decision-making scenarios in all fields of crop production technologies. In this Special Issue, original research articles and reviews are welcome. The research areas may include, but are not limited to, the following:

• Advanced technology in general crop production;
• Advanced technology in soil and tillage;
• Advanced technology in fertilizing, plant protection and harvesting;
• State-of-the-art agricultural irrigation systems;
• Robotics in precision farming;
• Smart sensors in agriculture;
• Machine vision;
• Artificial intelligence;
• Signal processing;
• Data analytics;
• Digital twin;
• Cloud and edge computing.

We look forward to receiving your contributions.

Dr. Abozar Nasirahmadi
Prof. Dr. Oliver Hensel
Guest Editors

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• crop production technologies
• digitalization in agriculture
• artificial intelligence
• digital twin
• Internet of Things
• big data analytics