CONCLUSIONS AND FUTURE WORK
Cloud computing plays an important role in SM mapping
for its unique advantage in remote sensing data processing. The
study proposes a CESCM framework to provide an efficient
cyber-physical infrastructure to enable efficient PA monitoring.
The sequence diagram of the monitoring pattern is described in
detail. In addition, the map/reduce SM mapping algorithm is
illustrated in section II. In the experiments, the SM mapping
performance is enhanced through five groups of experiments.
The SM mapping performance based on CESCM achieved a
higher performance in the experiments. The SM mapping can
guide and assistant the agricultural activities throughout the
year. In addition, with enhanced monitoring capability in PA,
the less cost will be put on facility in PA monitoring and the
productivity and income of farmers will be promoted. In the
future, the appropriate approach to estimate the yield of crop
through SM mapping will be excavated.