weeds

[WACV 2023] 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

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.

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

Application to control our laser firing, weed killing robot

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.

Spizganyjanusz

Reproduces models and figures presented in a climate matching modeling study for Ceratapion basicorne