Advanced Technologies in Agricultural Engineering and Energy Optimization

Dear Colleagues,

The major population growth, along with its flow from rural areas into urban agglomerations, cause the problem of food shortages, becoming the primary determinants of the global poverty. Food shortages are also significantly exacerbated due to land degradation lowering agricultural yields and livestock productivity. Fortunately, a rapid development of technologies, including information technologies and renewable energy sources, is currently observed in many aspects of economy. The direction of research is towards the utilization of renewable energy, which could help fulfill the energy demand, as well as to mitigate environmental problems. The use of renewable energy plays an important role in agriculture, where technologies are also being improved from year to year. Agricultural production is growing, and machinery and systems are becoming more autonomous and robotic, where it is no longer possible to do without complex computing, optimization, planning and working with large amounts of data. Nowadays, a large amount of unstructured heterogeneous data powers the demand to extract useful insights in an automatic, reliable and scalable way. The agriculture sector, however, is historically less receptive to innovation and lags behind the implementation of contemporary solutions, which defines the relevance of this Special Issue.

The purpose of this Special Issue “Advanced Technologies in Agricultural Engineering and Energy Optimization” is to publish research papers, as well as review articles, addressing recent advances on agriculture engineering within the confines of use of various energy types. This Special Issue aims to seek high-quality papers from academics and industry-related researchers in the areas of power supply to rural areas, biofuels and renewable energies used in agriculture, energy efficiency and conservation in agriculture, agricultural robotic applications, livestock production, the application of electrophysical impact on agricultural objects, technologies in harvesting and seed machinery, solutions for digital and precision agriculture, applied mathematics, environmental bioengineering, machine learning, artificial intelligence, pattern recognition, data mining, multimedia processing and big data to show the most recently advanced methods.

Dr. Vadim Bolshev
Dr. Vladimir Panchenko
Dr. Nallapaneni Manoj Kumar
Dr. Pandian Vasant
Prof. Dr. Igor Litvinchev
Prof. Dr. Prasun Chakrabarti
Guest Editors

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