AI Case Study

PlantVillage detects multiple diseases in Cassava plants with machine learning

PlantVillage which is a unit of Penn State University has devoledep Nuru, a mobile app that leverages machine learning to help farmers diagnose diseases in crops. The system that incorporates TensorFlow is trained to recognize disease symptoms from images uploaded to the app using a smartphone's camera. Farmers are provided with a preliminary diagnosis as well as disease-management information and advice.

Industry

Basic Materials

Agriculture

Project Overview

"PlantVillage and its mobile app — called "Nuru," which is Swahili for "light" — uses artificial intelligence and machine learning to train computers to recognize disease symptoms. When deployed on a smartphone, the app couples with the device's camera to capture images of diseased plants and provides the user with a preliminary diagnosis with a high degree of accuracy. The user also can get disease-management information and advice.

The program incorporates TensorFlow, open source software for numerical computation using data flow graphs. Originally developed by Google's Machine Intelligence research organization for the purpose of conducting machine learning and deep neural networks research, TensorFlow is general enough to be applicable in a wide variety of other domains as well, according to the TensorFlow website." (news.psu.edu)

Reported Results

Results undisclosed

Technology

"The program incorporates TensorFlow, open source software for numerical computation using data flow graphs." (news.psu.edu)

Function

Strategy

Analytics

Background

"There are 550 million farms in the world and 83% are small, less than 2 hectares, family farms with little or no access to knowledge on increasing productivity." (plantvillage)

Benefits

Data

photographs