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What is cyber-physical system driven agriculture? - Redesign of big data for outstanding farmer management -
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.orgCitation: 2018 ASABE Annual International Meeting 1800486.(doi:10.13031/aim.201800486)
Authors: EIJI MORIMOTO
Keywords: Big data, Smart Agriculture Machinery System, mille-feuille dataset, OODA
However, these technologies haven‘t delivered to practical farmer yet. This research looks at the challenges of creating step changes for precision agriculture, how to make big data which obtains from agriculture machinery for young farmer. This presentation focused on the importance of big data solution for inheriting farm management. Smart rice transplanter, smart 2nd fertilizer applicator and yield monitoring combine harvester (i.e. smart agricultural machinery systems (SAMS)) have been employed in order to monitor spatial temporal variability of topsoil depth, soil fertility and crop status for variable rate fertilizer application. As a result of field experiment indicated that 7,000,000 dataset of soil information, 65,000 dataset of crop status and 10,000,000 dataset of yield data were observed from the SAMAS. Variable fertilization design based on the experience of professional farmers also result in 20% fertilizer cut than conventional way and 30% harvest efficiency was improved. We concluded that the determination of variable setting values in field management with big data, the algorithm can be reflected the judgment of professional farmers.(Download PDF) (Export to EndNotes)