Updated on June 12, 2019


Created on September 22, 2016


Upcoming Update

PlantVillage is an open access library on crop health.

Developed By Unknown
Content Partners


Product Description

PlantVillage is a user moderated Q&A forum dedicated to the goal of helping people grow their own food. It is an open resource that helps farmers solve plant-related questions.

PlantVillage will offer the Nuru app, a digital assistant to help farmers diagnose crop disease in the field, without an internet connection.

Work in progress includes drones, mobile spectrophotometry and testing use of satellites for smallholder farmers.

Distributors / Implementing Organizations

PlantVillage is a non-profit project and a collaboration between Penn State University and EPFL.

Manufacturing/Building Method


Intellectural Property Type

Open Source

User Provision Model

Users can access PlantVillage directly through their website. It is free to sign-up and become a member. Nuru app can be downloaded from the Google Play Store and Apple App Store.

Distributions to Date Status

PlantVillage has seen over 3 million unique users since launch in 2013.Interview with representative

Design Specifications

PlantVillage offers agricultural advice through multiple platforms on their website. Users can upload questions and pictures directly to the forum section of their website, where other users can then respond. Additionally, PlantVillage offers a plant database of nearly 200 plants with information on physical characteristics, maintenance needed, and harvesting tips. Lastly, users can create plant journals which help them track progress over the plant's life, as well as allowing them to identify when certain problems arose.

Technical Support

Support is provided directly by community members on the site.

Replacement Components




Manufacturer Specified Performance Parameters


Vetted Performance Status




Complementary Technical Systems


Academic Research and References

Hughes, D. and Marcel S., 2015, An Open Access Repository of Images on Plant Health to Enable the Development of Mobile Disease Diagnostics. arXiv preprint arXiv:1511.08060.

Hlaing, C. S. and Zaw, S.M.M., 2017, Plant Diseases Recognition for Smart Farming Using Model-Based Statistical Features, IEEE 6th Global Conference on Consumer Electronics (GCCE), pp. 1-4.

Islam, M., Dinh, A., Wahid, K. and Bhowmik, P., 2017, Detection of Potato Diseases Using Image Segmentation and Multiclass Support Vector Machine, IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1-4.

Compliance with regulations


Other Information


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