| Abstract (english) | Global Navigation Satellite Systems (GNSS) in precision agriculture (PA) represent a
cornerstone for field mapping, machinery guidance, and variable rate technology. However, recent
improvements in GNSS components (GPS, GLONASS, Galileo, and BeiDou) and novel remote sensing
and computer processing-based solutions in PA have not been comprehensively analyzed in scientific
reviews. Therefore, this study aims to explore novelties in GNSS components with an interest in PA
based on the analysis of scientific papers indexed in the Web of Science Core Collection (WoSCC).
The novel solutions in PA using GNSS were determined and ranked based on the citation topic
micro criteria in the WoSCC. The most represented citation topics micro based on remote sensing
were “NDVI”, “LiDAR”, “Harvesting robot”, and “Unmanned aerial vehicles” while the computer
processing-based novelties included “Geostatistics”, “Precise point positioning”, “Simultaneous
localization and mapping”, “Internet of things”, and “Deep learning”. Precise point positioning,
simultaneous localization and mapping, and geostatistics were the topics that most directly relied
on GNSS in 93.6%, 60.0%, and 44.7% of the studies indexed in the WoSCC, respectively. Meanwhile,
harvesting robot research has grown rapidly in the past few years and includes several state-of-the-art
sensors, which can be expected to improve further in the near future. |
