R ice disease identification using convolutional neural network based system aimed at

HIGHLIGHTS

• who: Faster RCNN Dual phase and colleagues from the Royal Melbourne Institute of Technology (RMIT) provides GPU for international research enthusiasts and they provided a Red Hat Enterprise Linux Server along with the processor Intel Xeon, CPU, clock speed of , GHz. It has , CPUs with two threads per core, GB of RAM. Each user can use up to , petabyte of storage. There are also two , GB NVIDIA Tesla, PCIE GPUs available. First phase was completed through this server. . have published the Article: R ICE DISEASE IDENTIFICATION USING CONVOLUTIONAL NEURAL NETWORK BASED SYSTEM AIMED AT, in the Journal . . .
  

   

  

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