Big Data, Artificial Intelligence and Decision Support Systems in Sustainable Agriculture

Dear Colleagues,

With recent advances in information and communication technologies, big data are becoming the skeleton of many data-driven application domains, agriculture among them. Big data analytics, and therefore the decision support systems that can be derived from them, involve advanced learning and analysis techniques to deal with exceptionally large, diverse datasets collected from different sources with varying sizes. Analyzing big data is beyond the ability of traditional mining techniques. Precision and digital agriculture generates huge amounts of data using a variety of digital devices and other sources, ranging from mobiles, sensors, GIS, satellites to IoTs, financial, and other private agencies. Agricultural data analysis and mining are a particularly challenging duet to the high complexity of its datasets which are heterogeneous, very large, and collected with different objectives and qualitative attributes.

This Special Issue focuses on all the challenges of agricultural Big Data. We encourage researchers working in this big data analytics domain which is at the cross-boundaries between agriculture and computer science (Data Science) to share their research and their innovative techniques on how to deal with the challenges mentioned above. This Special Issue will certainly make significant contributions to the advancement of digital agriculture and data science.

Prof. Dr. Gniewko Niedbała
Dr. Sebastian Kujawa
Guest Editors

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