E.Agricultural operation indicators detection 
Description:  According  to  the  multi-sensor  on 
the  remote  monitoring  equipment  of  agricultural 
machinery,  the  relevant  data  of  agricultural 
machinery torque are uploaded to the server, and the 
system judges whether the agricultural machinery is 
in  working  status  according  to  the  above  data  and 
the  occurrence  time  of  the  operation.  Such  as 
agricultural  machinery  ongoing  operation  will 
automatically  open  the  image  acquisition  function, 
the  system  based  on  intelligent  image  recognition 
system,  combined  with  soil  conditions  set  by  the 
calculation of indicators. 
Application examples shown in Figure 8: 
 
Figure 8: Agricultural machinery data analysis 
4  CONCLUSIONS 
a.The  basic  successful  application  of  a  set  of 
functions set of agricultural machinery management 
agencies, service agencies, users composed of  three 
linkage  management  technology,  the  positioning  of 
the  farm  tools,  job  trajectory,  image  acquisition, 
workload  calculation,  index  detection,  agricultural 
management  and  other  functions  close  Combining 
and  serving  the  management  environment  of 
agricultural  machinery,  it  plays  a  positive  role  in 
promoting  the  macro  management,  command  and 
dispatch, operation statistics, development decision-
making  and  individual  management  of  agricultural 
machinery. 
b.The rubber plantation ditching and fertilization 
combined  operation  machine  based  on  visual 
monitoring  technology  basically  fulfilled  the 
requirement of synchronous dredging and fertilizing 
agronomy in rubber plantation field, in line with the 
development  direction  of  modern  agricultural 
machinery.  Equipped  with  Dongfanghong  804 
tractor,  the  machine  can  reach  a  depth  of  45cm,  a 
production rate of 1.63hm2 /  h, an oil consumption 
of  3.4kg  /  hm2,  a  uniform  fertilizer  rate  of  92.3% 
and a coverage rate of 96.9%, which can effectively 
increase  production  efficiency  and  reduce 
production costs. 
ACKNOWLEDGEMENTS 
This work was financially supported by the Central 
Public-interest  Scientific  Institution  Basal  Research 
Fund for Chinese Academy of Tropical Agricultural 
Sciences(1630132016015&1630022015018);2017 
provincial  agricultural  development  and  rural  work 
special  "natural  rubber  processing  of  key 
technologies  in  Thailand  application"(Yue  Nongji 
[2017]  No.39);Public  Welfare  Research  and 
Capacity  Building  of  Guangdong  Province 
(2017A02028012);Collaborative  innovation  and 
platform  environment  construction  special  of 
Guangdong  Province  (2017A040406003);Natural 
Science Foundation of Hainan Provincial(20155204); 
Chinese  Academy  of  Tropical  Agricultural 
Sciences(1630132017003)and  Science  and 
Technology  Program  special  of  Zhanjiang 
City(2015A03023) . 
I  would  like  to  thank  the  members  of  the 
research group for their selfless help, especially the 
communication author Zhang Yuan,and the friendly 
farms in Guangdong Province for the project test of 
strong support. 
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