Plant and weed detection using machine learning using python
Plant and weed detection using machine learning using python
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ABSTRACT:
Plants and weeds detection model using machine learning in python
Abstract:
Design a robust and simple to integrate plants and weeds machine learning model.
Proposes plants/weeds discriminates model that are able to process in real time.
Machine learning vision is wide area of research. Automated Crops and weed control will save cost and reduce environment impact.
Dataset
This image dataset has 15336 segments, being 3249 of soil, 7376 of soybean, 3520 grass and 1191 of broadleaf weeds.
We want the model to uniformly learn all classes therefore,
training set: 4000 images(1000 each classes)
validation set: 200 images(50 each classes)
test: 200(50 each classes)
#Plant_discrimination #WeedDiscrimination #Python_Project