A Convolutional Neural Network approach for image-based anomaly detection in smart agriculture
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.
weed detection
eCognition algorithm based in multi-spectral luminosity and shape for classifying weeds.
Youtube NathanBuildsDIY AI-Powered Precision Weed Spraying with Auto Battery Swap
eCognition algorithm based in multi-spectral luminosity and shape for classifying weeds.
Image segmentation dataset created using the Open Sprayer Images dataset
Add a description, image, and links to the weeds-detection topic page so that developers can more easily learn about it.
To associate your repository with the weeds-detection topic, visit your repo's landing page and select "manage topics."