Caminos
Verified · Jan 20241 min read
● projectScaled · national · 2018

PlantVillage Nuru (Kenya)

Mobile AI app (computer vision / deep learning) that diagnoses crop diseases and pests from photos of leaves, offline, on low-cost phones.

Telecommunications tower against a clear blue skyillustrative atlas image · mdreza jalali / Unsplash
P(PlantVillage (Penn State University)universityIIInternational Institute of Tropical Agriculture (IITA)ngoDPDavid P. HughesLMLatifa M. Mrisho
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01 The context

In Kenya it is deployed with small-scale farmers and extension agents to diagnose cassava diseases (CMD, CBSD) and maize diseases, with advice in Swahili and English. Nuru means light in Swahili.

02 How it works

method · Comparative evaluation of Nuru vs experts (CaSRAT)method · Participatory field diagnosis with extension agentsmethod · Deep learning / computer vision (object detection)tool · PlantVillage Nuru mobile apptool · Offline Android smartphonestool · TensorFlow object detection models

03 What it stands on

Evidence level
Own experience
Grounded in published theory
Documented evidence elsewhere
Independently evaluated here
1 published document supports this project. No independent evaluation is in the atlas yet. Know of any? Contribute it.
The evidence 1 ›
EvidenceAccuracy of a Smartphone-Based Object Detection Model, PlantVillage Nuru, in Identifying the Foliar Symptoms of the Viral Diseases of Cassava - CMD and CBSDFrontiers in Plant Science · 2020

04 Go to the source

Visit the official site ↗plantvillage.psu.edu