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Some of the algorithms used in developing the robot are available here.

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Agriculture-Application-Robot

Some of the algorithms used in developing the robot are available here.

Quick Guide

The four required files for running in your enivroment are

  • frozen_inference_graph.pb
  • labelmap.pbtxt
  • utils folder
  • python program

Plant-weed detection

Installation

git clone https://github.com/ummadiviany/Agriculture-Application-Robot

cd Agriculture-Application-Robot/plant-weed

Testing in your computer

python Plant-weed-detection.py

Results

A Image with single ground plant is taken as a example to test the model.The model is working perfect with 100 accuracy.

GroundNut detected Image

Aerial Plant detection

Installation

git clone https://github.com/ummadiviany/Agriculture-Application-Robot

cd Agriculture-Application-Robot/aerial-plant-detection

Testing in your computer

python aerial-plant-detection.py

Results

An image from the given test data is taken as example to test our trained model.

Input aerial image

The output image show us the accuracy of model. It detected almost all plant correctly .

Output aerial image with plants detected and given bounding boxex

Added from vscode!!!

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Some of the algorithms used in developing the robot are available here.

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