DACWEED: Detection and ACtuation system for WEED management

Joined June 2020
11 Photos and videos
14 Dec 2022
đźšś Yesterday, the #Dacweed system was shown to professionals and cooperative members at the CTAEX (Centro TecnolĂłgico Nacional Agroalimentario Extremadura), the technology center in #Badajoz. #artificialintelligence #neuralnetworks #weedscience
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2 Dec 2022
DACWEED main results dissemination day. CSIC (Spanish National Research Council) and Hohenheim Universität (Stuttgart, Germany). #deeplearning #neuralnetworks #precisionagriculture #weedscience #SSWM
24 Jun 2022
Another hectic day at #EWRS2022. #dacweed
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20 Jun 2022
DACWEED latest breakthroughs at 19th European Weed Research Society Symposium.
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30 Apr 2022
Dacweed at XVIII Congress of the Spanish Weed Science Society (SEMh) - 26th-29th of April 2022.
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DACWEED retweeted
🦾 Dionisio Andújar, del @CARobotica_ nos cuenta el #proyecto de #innovacion @dacweed, del @EITFood.Hoy, en la jornada @catedracorteva, en #FIMA2022! Sistema inteligente y de bajo coste 💸para detectar y eliminar #malashierbas de forma sostenible🌱
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29 Apr 2022
Jacob Carballido, Head of Innovation of Agrosap, and Dionisio AndĂşjar, a research scientist from CSIC presented at FIMA the latest advancements about DACWEED. FIMA Agricola 2022, over ver 1,600 exhibitors and 230,000 attendees from 80 countries are planned to attend the FIMA 2022
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26 Apr 2022
"Multi-class weed detection and classification system in tomato 🍅crop using neural networks" presented by J.M. López Correa at CLAP2022 - Iberoamerican Congress of Precision Agriculture.
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8 Apr 2022
Dr. AndĂşjar member of CSIC ( Spanish National Research Council) presented the latest breakthroughs of DACWEED at VinIoT.
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19 Nov 2020
Smart technology in farming agritechtomorrow.com/article…

21 Oct 2020
The DACWEED project is using deep learning techniques to distinguish among different kinds of weeds and crops.
13 Oct 2020
Precision seeding for higher yields and less weeds futurefarming.com/Smart-farm…

5 Oct 2020
Machine learning in agriculture: how ai helps solve the industry’s most pressing challenges greatdataminds.com/chronicle…

16 Sep 2020
A Q1 academic journal article written by some members of the DACWEED project choosen as Editor’s Choice Article by @Sensors_MDPI: "Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley" mdpi.com/1424-8220/19/3/535
27 Jul 2020
Engineers members of the DACWEED project working to communicate to a tractor via ISOBUS