Smart Agriculture Based on Big Data and Internet of Things (IoT)

Dear Colleagues,

Sustainable agriculture supports the conservation of natural resources, halts biodiversity loss and reduces greenhouse gas emissions. Sustainable agriculture is a combination of the best conventional technologies and practices offering precision farming concepts and digital technologies. The aim of using digitalization is to optimize and increase the quality of production, reduce human labor, reduce industrial inputs and reduce environmental pressures. Today, in the era of Agriculture 4.0, the latest digital technology tools are currently being employed—namely, the Internet of Things (IoT), Big Data analytics, artificial intelligence, machine learning, satellite technologies, cloud computing, etc. New technologies are one of the key tools to enable the development of sustainable agriculture. As such, one of the most important technologies is the Internet of Things (IoT). This concept of connecting devices and collecting and processing the Big Data received from them allows for the continuous creation of streams of interconnected data as well as the creation of new information.

Smart agriculture emphasizes information and communication technologies in machines, equipment and sensors. This not only allows for high-tech farm monitoring and the automation of processes but also provides a possibility for remotely controlling both processes and work. Currently, these solutions are being used, among others, to monitor changes in soil characteristics, climatic factors and humidity.

Innovative digital technologies, i.e., satellite technologies, cloud computing or artificial intelligence, are expected to contribute to agricultural development, greater production efficiency and resource savings, as well as promote food security and reduce climate change. Digitization and the implementation of new technologies seem to be a natural path for agricultural development. However, the application of new technologies also raises certain concerns and poses new challenges for farmers.

Therefore, this Special Issue aims to review a wide range of theoretical and experimental research related to agricultural production processes implemented with innovative digital technologies, the possibilities of their application and the assessment of their effectiveness, as well as the anticipated challenges that arise when combining innovative technologies with conventional agricultural activities.

This Special Issue welcomes all types of articles and is intended for a broad and multidisciplinary audience.

Prof. Dr. Jacek Przybył
Dr. Dawid Wojcieszak
Dr. Antonio Madueño Luna
Guest Editors

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• sustainable agriculture
• smart agriculture
• data storage and processing
• Internet of Things (IoT)
• big data analytics
• artificial intelligence
• machine learning
• cloud computing
• satellite technologies
• predictive models
• remote control of processes and works
• automation and autonomy
• field management
• reduction of fertilizer and pesticide use
• reduction of energy inputs
• increased crop production
• increase in production efficiency
• reduction of climate change