PlantVillage NURU: Pest and Disease Monitoring Using Artificial Intellingence
PlantVillage NURU: Pest and Disease Monitoring Using  Artificial Intellingence
Technische specificatie
Technologisch ontwikkelingsniveau
TRL 9
Schaalgrootte landbouwbedrijf
Grote schaal, Kleine schaal
Productie systemen
Open lucht
Type technieken
Diagnose en detectie, Monitoring technieken
Toepassingsbereik
Andere
Naam bedrijf
CGIAR
Land van origine
Verenigde Staten
Contact Person
dph14@psu.edu; J.LEGG@cgiar.org
Specifieke vereiste
Specifieke landbouwcontext vereist
Specifieke opleiding vereist

Beschrijving

This project expects to radically transform pest and disease monitoring by using artificial intelligence (AI), advanced sensor technology and crowdsourcing capable of connecting the global agricultural community to help smallholder farmers. It aims to increase the effectiveness of farm-level advice by leveraging three critical advances:

  1. The democratization of AI thanks to open access platforms such as Google’s TensorFlow.
  2. The miniaturization of technology allows affordable deployment.
  3. The development of massive communication and money exchange platforms such as M-Pesa that allow rural extension to scale as a viable economic model enabling last mile delivery in local languages.
Voor meer informatie
Bruikbaar in volgende teelten:
  • Paprika
  • Maïs
  • Aardappel
Mogelijke teelten
  • Paprika
  • Spruitkool
  • Bloemkool
  • Komkommer
  • Sluitkool (rood, wit, savooi)
  • Prei
  • Sla
  • Ui
  • Tomaat
Landen waar het wordt gebruikt
  • Meerdere
Tech vereiste opmerking?

Smartphone-based runs on iOS and Android.

Landschap opmerking

No restrictions

Training opmerking

No comment

Kosten detail

Free app

Voorbeelden/ Extra informatie

The team annotated more than 200,000 cassava plant images, identifying and classifying diseases to train a machine learning model.

Werkwijze

Cloud based