A Convolutional Neural Network approach for image-based anomaly detection in smart agriculture
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Updated
Nov 21, 2021 - Python
A Convolutional Neural Network approach for image-based anomaly detection in smart agriculture
weed detection
This project is the HEC funded project, the aim of Precision Agriculture Spraying robot is to develop a robotic solution for precisely spraying application for different crops using Machine learning and Deep learning algorithms.
eCognition algorithm based in multi-spectral luminosity and shape for classifying weeds.
Image segmentation dataset created using the Open Sprayer Images dataset
eCognition algorithm based in multi-spectral luminosity and shape for classifying weeds.
Youtube NathanBuildsDIY AI-Powered Precision Weed Spraying with Auto Battery Swap
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