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Information and scripts for the CropAndWeed Dataset
A Convolutional Neural Network approach for image-based anomaly detection in smart agriculture
This repository contains field images of early stage tomato, cotton, velvetleaf and black nightshade. Agricultural University of Athens is performing several image capturing sessions and provides this dataset in order to promote research efforts in crop/weed identification.
Application to control our laser firing, weed killing robot
Generalised scripts for implementing a Bayesian analysis in the exploration of parameter space of LTE synthetic spectra produced by the CLASS/Weeds software.
Youtube NathanBuildsDIY AI-Powered Precision Weed Spraying with Auto Battery Swap
Get information about pollen in the air at your current location from tomorrow.io
🌿 Using chemicals to target and dissolve specific seaweed types in freshwater lakes and waterways.