Information and scripts for the CropAndWeed Dataset

A Convolutional Neural Network approach for image-based anomaly detection in smart agriculture

Code for riskmapr apps for invasive weed risk mapping

Application to control our laser firing, weed killing robot

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.

Datasets used in "Nine Features in a Random Forest to Learn Taxonomical Semantic Relations". Enrico Santus, Alessandro Lenci, Tin-Shing Chiu, Qin Lu and Chu-Ren Huang. LREC 2016

Este es un repositorio de un conjunto de datos formado por imágenes de rastrojos y cultivos para aprendizaje automatizado en agricultura

Playground to experiment various machine learning models to classify weeds/not weeds plants based on images

Generalised scripts for implementing a Bayesian analysis in the exploration of parameter space of LTE synthetic spectra produced by the CLASS/Weeds software.

Get information about pollen in the air at your current location from tomorrow.io

Spizganyjanusz

🌿 Using chemicals to target and dissolve specific seaweed types in freshwater lakes and waterways.

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