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.

Youtube NathanBuildsDIY AI-Powered Precision Weed Spraying with Auto Battery Swap

Image segmentation dataset created using the Open Sprayer Images dataset

eCognition algorithm based in multi-spectral luminosity and shape for classifying weeds.