PlantVillage NURU: Pest and Disease Monitoring Using Artificial Intellingence
PlantVillage NURU: Pest and Disease Monitoring Using  Artificial Intellingence
Tehnične podrobnosti
Raven tehnološke pripravljenosti
TRL 9
Kategorija velikosti kmetij
Velika, Majhna
Pridelovalni sistemi
Na prostem/njiva
Vrste tehnik
Tehnike diagnostike in detekcije, Metode načrtnega spremljanja (monitoringa)
Območje uporabe
Drugo
Ime podajetja
CGIAR
Izvorna država
Združene države Amerike
Contact Person
dph14@psu.edu; J.LEGG@cgiar.org
Posebna zahteva
Potreba po posebnem kmetijskem zemljišču
Potreba po posebnem/dodatnem izobraževanju

Opis

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.
Za več informacij
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Možne rastlinske vrste
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Države, ki so uporabljene/vključene v iskalno geslo.
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Podrobnosti o stroških

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Primeri/ Dodatne informacije

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

Način delovanja

Cloud based